Overview

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Dataset statistics

Number of variables134
Number of observations26208
Missing cells264
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.8 MiB
Average record size in memory1.1 KiB

Variable types

DateTime1
Numeric113
Categorical19
Boolean1

Dataset

DescriptionSix-Month Monitoring Dataset from a 10-Turbine Onshore Wind Farm in Greece.
URLhttps://doi.org/10.5281/zenodo.14546479

Alerts

Gear Oil Temp. Avg. [°C] has constant value "999.0" Constant
Gear Bearing Temp. Avg. [°C] has constant value "999.0" Constant
Gear Oil TemperatureLevel2_3 Avg. [°C] has constant value "0.0" Constant
Ambient WindSpeed Estimated Avg. [m/s] has constant value "0.0" Constant
Grid Production PossibleInductive Avg. [var] has constant value "0.0" Constant
Grid Production PossibleInductive Max. [var] has constant value "0.0" Constant
Grid Production PossibleInductive Min. [var] has constant value "0.0" Constant
Grid Production PossibleInductive StdDev [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive Avg. [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive Max. [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive Min. [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive StdDev [var] has constant value "0.0" Constant
Reactive power set point [var] has constant value "0.0" Constant
Spinner Temp. SlipRing Avg. [°C] has constant value "999.0" Constant
HourCounters Average Total Avg. [h] has constant value "600.0" Constant
Active power generator 0, Total accumulated [W] is highly overall correlated with Active power generator 1, Total accumulated [W] and 23 other fieldsHigh correlation
Active power generator 1, Total accumulated [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Active power generator 2, Total accumulated [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Active power limit [W] is highly overall correlated with Active power limit source and 10 other fieldsHigh correlation
Active power limit source is highly overall correlated with Active power limit [W] and 3 other fieldsHigh correlation
Ambient Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Ambient WindDir Absolute Avg. [°] is highly overall correlated with Avg. direction [°] and 1 other fieldsHigh correlation
Ambient WindDir Relative Avg. [°] is highly overall correlated with missing_dataHigh correlation
Ambient WindSpeed Avg. [m/s] is highly overall correlated with Ambient WindSpeed Max. [m/s] and 56 other fieldsHigh correlation
Ambient WindSpeed Max. [m/s] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 55 other fieldsHigh correlation
Ambient WindSpeed Min. [m/s] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Ambient WindSpeed StdDev [m/s] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
Ambient ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Avg. direction [°] is highly overall correlated with Ambient WindDir Absolute Avg. [°] and 1 other fieldsHigh correlation
Blades PitchAngle Avg. [°] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 32 other fieldsHigh correlation
Blades PitchAngle Max. [°] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 41 other fieldsHigh correlation
Blades PitchAngle Min. [°] is highly overall correlated with Blades PitchAngle Avg. [°] and 13 other fieldsHigh correlation
Blades PitchAngle StdDev [°] is highly overall correlated with Ambient WindSpeed StdDev [m/s] and 1 other fieldsHigh correlation
Controller Ground Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 24 other fieldsHigh correlation
Controller Hub Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 22 other fieldsHigh correlation
Controller Top Temp. Avg. [°C] is highly overall correlated with Ambient Temp. Avg. [°C] and 12 other fieldsHigh correlation
Controller VCP ChokecoilTemp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Controller VCP Temp. Avg. [°C] is highly overall correlated with Controller Top Temp. Avg. [°C] and 18 other fieldsHigh correlation
Controller VCP WaterTemp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 55 other fieldsHigh correlation
First Alarm parameter 1 in 10 min frame is highly overall correlated with HourCounters Average AlarmActive Avg. [h] and 4 other fieldsHigh correlation
First Alarm parameter 2 in 10 min frame is highly overall correlated with missing_dataHigh correlation
Gear Bearing TemperatureHSGeneratorEnd Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Gear Bearing TemperatureHSMiddle Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Gear Bearing TemperatureHSRotorEnd Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Gear Bearing TemperatureHollowShaftGenerator Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Gear Bearing TemperatureHollowShaftRotor Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Gear Oil TemperatureBasis Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Gear Oil TemperatureLevel1 Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 46 other fieldsHigh correlation
Generator 1 hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Generator 2 hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Generator Bearing Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 55 other fieldsHigh correlation
Generator Bearing2 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 55 other fieldsHigh correlation
Generator CoolingWater Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Generator Phase1 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 55 other fieldsHigh correlation
Generator Phase2 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 55 other fieldsHigh correlation
Generator Phase3 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 55 other fieldsHigh correlation
Generator RPM Avg. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Generator RPM Max. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Generator RPM Min. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 57 other fieldsHigh correlation
Generator RPM StdDev [RPM] is highly overall correlated with Rotor RPM StdDev [RPM] and 1 other fieldsHigh correlation
Generator SlipRing Temp. Avg. [°C] is highly overall correlated with Ambient Temp. Avg. [°C] and 11 other fieldsHigh correlation
Grid Busbar Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Grid InverterPhase1 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 57 other fieldsHigh correlation
Grid Production CosPhi Avg. is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 49 other fieldsHigh correlation
Grid Production CurrentPhase1 Avg. [A] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Grid Production CurrentPhase2 Avg. [A] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Grid Production CurrentPhase3 Avg. [A] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Grid Production Frequency Avg. [Hz] is highly overall correlated with missing_dataHigh correlation
Grid Production PossiblePower Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Grid Production PossiblePower Max. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 55 other fieldsHigh correlation
Grid Production PossiblePower Min. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Grid Production PossiblePower StdDev [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 55 other fieldsHigh correlation
Grid Production Power Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Grid Production Power Max. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Grid Production Power Min. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 57 other fieldsHigh correlation
Grid Production Power StdDev [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 55 other fieldsHigh correlation
Grid Production ReactivePower Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 46 other fieldsHigh correlation
Grid Production ReactivePower Max. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Grid Production ReactivePower Min. [W] is highly overall correlated with Blades PitchAngle Min. [°] and 8 other fieldsHigh correlation
Grid Production ReactivePower StdDev [W] is highly overall correlated with Blades PitchAngle Min. [°] and 9 other fieldsHigh correlation
Grid Production VoltagePhase1 Avg. [V] is highly overall correlated with Grid Production VoltagePhase2 Avg. [V] and 2 other fieldsHigh correlation
Grid Production VoltagePhase2 Avg. [V] is highly overall correlated with Grid Production VoltagePhase1 Avg. [V] and 2 other fieldsHigh correlation
Grid Production VoltagePhase3 Avg. [V] is highly overall correlated with Grid Production VoltagePhase1 Avg. [V] and 2 other fieldsHigh correlation
Grid RotorInvPhase1 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 57 other fieldsHigh correlation
Grid RotorInvPhase2 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Grid RotorInvPhase3 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 57 other fieldsHigh correlation
Grid ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Grid on hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
HVTrafo AirOutlet Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
HVTrafo Phase1 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
HVTrafo Phase2 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
HVTrafo Phase3 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
HourCounters Average AlarmActive Avg. [h] is highly overall correlated with Active power limit [W] and 8 other fieldsHigh correlation
HourCounters Average AmbientOk Avg. [h] is highly overall correlated with Active power limit [W] and 8 other fieldsHigh correlation
HourCounters Average Gen1 Avg. [h] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
HourCounters Average Gen2 Avg. [h] is highly overall correlated with Grid Production ReactivePower Min. [W] and 5 other fieldsHigh correlation
HourCounters Average GridOk Avg. [h] is highly overall correlated with Active power limit [W] and 10 other fieldsHigh correlation
HourCounters Average GridOn Avg. [h] is highly overall correlated with Active power limit source and 3 other fieldsHigh correlation
HourCounters Average Run Avg. [h] is highly overall correlated with Active power limit [W] and 8 other fieldsHigh correlation
HourCounters Average ServiceOn Avg. [h] is highly overall correlated with Active power limit [W] and 7 other fieldsHigh correlation
HourCounters Average TurbineOk Avg. [h] is highly overall correlated with Active power limit [W] and 7 other fieldsHigh correlation
HourCounters Average WindOk Avg. [h] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
HourCounters Average Yaw Avg. [h] is highly overall correlated with missing_dataHigh correlation
Hydraulic Oil Temp. Avg. [°C] is highly overall correlated with missing_dataHigh correlation
Nacelle Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 36 other fieldsHigh correlation
Power factor set point is highly overall correlated with Active power limit [W] and 3 other fieldsHigh correlation
Power factor set point source is highly overall correlated with Active power limit [W] and 3 other fieldsHigh correlation
Production LatestAverage Active Power Gen 0 Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 48 other fieldsHigh correlation
Production LatestAverage Active Power Gen 1 Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Production LatestAverage Active Power Gen 2 Avg. [W] is highly overall correlated with Grid Production ReactivePower StdDev [W] and 4 other fieldsHigh correlation
Production LatestAverage Reactive Power Gen 0 Avg. [var] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 48 other fieldsHigh correlation
Production LatestAverage Reactive Power Gen 1 Avg. [var] is highly overall correlated with Production LatestAverage Total Reactive Power Avg. [var] and 1 other fieldsHigh correlation
Production LatestAverage Reactive Power Gen 2 Avg. [var] is highly overall correlated with missing_dataHigh correlation
Production LatestAverage Total Active Power Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Production LatestAverage Total Reactive Power Avg. [var] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Reactive power generator 0,Total accumulated [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Reactive power generator 1, Total accumulated [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Reactive power generator 2, Total accumulated [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Rotor RPM Avg. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Rotor RPM Max. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Rotor RPM Min. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 57 other fieldsHigh correlation
Rotor RPM StdDev [RPM] is highly overall correlated with Generator RPM StdDev [RPM] and 1 other fieldsHigh correlation
Run hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Service hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 22 other fieldsHigh correlation
Spinner Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 22 other fieldsHigh correlation
System Logs First Active Alarm No is highly overall correlated with Active power limit [W] and 8 other fieldsHigh correlation
Total Active power [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Total hour counter [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Total reactive power [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Turbine ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Wind ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
Yaw hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 23 other fieldsHigh correlation
missing_data is highly overall correlated with Active power generator 0, Total accumulated [W] and 116 other fieldsHigh correlation
Grid Production Frequency Avg. [Hz] is highly imbalanced (97.1%) Imbalance
Active power limit source is highly imbalanced (99.9%) Imbalance
Power factor set point is highly imbalanced (99.9%) Imbalance
Power factor set point source is highly imbalanced (99.9%) Imbalance
missing_data is highly imbalanced (99.9%) Imbalance
Grid Production VoltagePhase1 Avg. [V] is highly skewed (γ1 = -34.3390825) Skewed
Grid Production VoltagePhase2 Avg. [V] is highly skewed (γ1 = -35.54391963) Skewed
Grid Production VoltagePhase3 Avg. [V] is highly skewed (γ1 = -31.58072553) Skewed
Active power limit [W] is highly skewed (γ1 = -45.44750111) Skewed
HourCounters Average GridOn Avg. [h] is highly skewed (γ1 = -134.9747993) Skewed
First Alarm parameter 2 in 10 min frame is highly skewed (γ1 = 75.75479398) Skewed
Total hour counter [h] is uniformly distributed Uniform
Grid on hours [h] is uniformly distributed Uniform
Timestamp has unique values Unique
Generator RPM Max. [RPM] has 816 (3.1%) zeros Zeros
Generator RPM Min. [RPM] has 1890 (7.2%) zeros Zeros
Generator RPM Avg. [RPM] has 1174 (4.5%) zeros Zeros
Generator RPM StdDev [RPM] has 1096 (4.2%) zeros Zeros
Rotor RPM Max. [RPM] has 1112 (4.2%) zeros Zeros
Rotor RPM Min. [RPM] has 2029 (7.7%) zeros Zeros
Rotor RPM Avg. [RPM] has 1515 (5.8%) zeros Zeros
Rotor RPM StdDev [RPM] has 7971 (30.4%) zeros Zeros
Grid Production ReactivePower Avg. [W] has 19055 (72.7%) zeros Zeros
Grid Production ReactivePower StdDev [W] has 8861 (33.8%) zeros Zeros
Grid Production PossiblePower Avg. [W] has 3352 (12.8%) zeros Zeros
Grid Production PossiblePower Max. [W] has 3279 (12.5%) zeros Zeros
Grid Production PossiblePower Min. [W] has 3753 (14.3%) zeros Zeros
Grid Production PossiblePower StdDev [W] has 3979 (15.2%) zeros Zeros
Blades PitchAngle Min. [°] has 284 (1.1%) zeros Zeros
Blades PitchAngle Avg. [°] has 394 (1.5%) zeros Zeros
Blades PitchAngle StdDev [°] has 4681 (17.9%) zeros Zeros
HourCounters Average GridOk Avg. [h] has 282 (1.1%) zeros Zeros
HourCounters Average TurbineOk Avg. [h] has 307 (1.2%) zeros Zeros
HourCounters Average Run Avg. [h] has 488 (1.9%) zeros Zeros
HourCounters Average Gen1 Avg. [h] has 16475 (62.9%) zeros Zeros
HourCounters Average Gen2 Avg. [h] has 13367 (51.0%) zeros Zeros
HourCounters Average Yaw Avg. [h] has 10820 (41.3%) zeros Zeros
HourCounters Average ServiceOn Avg. [h] has 25905 (98.8%) zeros Zeros
HourCounters Average AmbientOk Avg. [h] has 407 (1.6%) zeros Zeros
HourCounters Average WindOk Avg. [h] has 6296 (24.0%) zeros Zeros
HourCounters Average AlarmActive Avg. [h] has 25632 (97.8%) zeros Zeros
Production LatestAverage Active Power Gen 0 Avg. [W] has 19714 (75.2%) zeros Zeros
Production LatestAverage Active Power Gen 1 Avg. [W] has 16440 (62.7%) zeros Zeros
Production LatestAverage Active Power Gen 2 Avg. [W] has 13277 (50.7%) zeros Zeros
Production LatestAverage Reactive Power Gen 0 Avg. [var] has 19745 (75.3%) zeros Zeros
Production LatestAverage Reactive Power Gen 1 Avg. [var] has 22732 (86.7%) zeros Zeros
Production LatestAverage Reactive Power Gen 2 Avg. [var] has 23718 (90.5%) zeros Zeros
Production LatestAverage Total Reactive Power Avg. [var] has 15819 (60.4%) zeros Zeros
System Logs First Active Alarm No has 25632 (97.8%) zeros Zeros
First Alarm parameter 1 in 10 min frame has 25999 (99.2%) zeros Zeros
First Alarm parameter 2 in 10 min frame has 26162 (99.8%) zeros Zeros

Reproduction

Analysis started2025-05-15 12:09:29.209149
Analysis finished2025-05-15 12:10:00.617653
Duration31.41 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

Timestamp
Date

Unique 

Distinct26208
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
Minimum2020-01-01 00:00:00
Maximum2020-06-30 23:50:00
Invalid dates0
Invalid dates (%)0.0%
2025-05-15T14:10:00.657315image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-15T14:10:00.740596image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Generator RPM Max. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct1258
Distinct (%)4.8%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1195.4156
Minimum0
Maximum2076
Zeros816
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:01.283129image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.25
Q11060
median1268
Q31646
95-th percentile1747
Maximum2076
Range2076
Interquartile range (IQR)586

Descriptive statistics

Standard deviation523.5912
Coefficient of variation (CV)0.43799932
Kurtosis0.084297175
Mean1195.4156
Median Absolute Deviation (MAD)326
Skewness-1.0559198
Sum31327060
Variance274147.74
MonotonicityNot monotonic
2025-05-15T14:10:01.358578image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 816
 
3.1%
1055 420
 
1.6%
1056 357
 
1.4%
1057 312
 
1.2%
1058 290
 
1.1%
1060 274
 
1.0%
1062 265
 
1.0%
1054 262
 
1.0%
1061 259
 
1.0%
1059 249
 
1.0%
Other values (1248) 22702
86.6%
ValueCountFrequency (%)
0 816
3.1%
1 117
 
0.4%
2 52
 
0.2%
3 62
 
0.2%
4 40
 
0.2%
5 25
 
0.1%
6 35
 
0.1%
7 31
 
0.1%
8 24
 
0.1%
9 27
 
0.1%
ValueCountFrequency (%)
2076 1
< 0.1%
1911 1
< 0.1%
1894 1
< 0.1%
1893 1
< 0.1%
1892 2
< 0.1%
1890 1
< 0.1%
1887 1
< 0.1%
1884 1
< 0.1%
1883 1
< 0.1%
1882 2
< 0.1%

Generator RPM Min. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct1107
Distinct (%)4.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean975.7024
Minimum0
Maximum1636
Zeros1890
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:01.434638image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11003
median1041
Q31286
95-th percentile1603
Maximum1636
Range1636
Interquartile range (IQR)283

Descriptive statistics

Standard deviation494.47892
Coefficient of variation (CV)0.50679277
Kurtosis-0.43347622
Mean975.7024
Median Absolute Deviation (MAD)217
Skewness-0.83094671
Sum25569257
Variance244509.4
MonotonicityNot monotonic
2025-05-15T14:10:01.514189image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1890
 
7.2%
1043 633
 
2.4%
1042 613
 
2.3%
1041 565
 
2.2%
1040 546
 
2.1%
1039 504
 
1.9%
1038 475
 
1.8%
1037 457
 
1.7%
1035 441
 
1.7%
1036 404
 
1.5%
Other values (1097) 19678
75.1%
ValueCountFrequency (%)
0 1890
7.2%
1 45
 
0.2%
2 49
 
0.2%
3 36
 
0.1%
4 26
 
0.1%
5 20
 
0.1%
6 23
 
0.1%
7 11
 
< 0.1%
8 15
 
0.1%
9 8
 
< 0.1%
ValueCountFrequency (%)
1636 1
 
< 0.1%
1635 6
 
< 0.1%
1634 7
 
< 0.1%
1633 12
< 0.1%
1632 10
< 0.1%
1631 14
0.1%
1630 18
0.1%
1629 15
0.1%
1628 16
0.1%
1627 22
0.1%

Generator RPM Avg. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct1514
Distinct (%)5.8%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1084.2095
Minimum0
Maximum1646
Zeros1174
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:01.592175image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q11049
median1093
Q31543
95-th percentile1640
Maximum1646
Range1646
Interquartile range (IQR)494

Descriptive statistics

Standard deviation506.55014
Coefficient of variation (CV)0.46720689
Kurtosis-0.20906781
Mean1084.2095
Median Absolute Deviation (MAD)338
Skewness-0.89652358
Sum28412794
Variance256593.05
MonotonicityNot monotonic
2025-05-15T14:10:01.670144image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1049 3815
 
14.6%
1639 1619
 
6.2%
0 1174
 
4.5%
1050 616
 
2.4%
1640 523
 
2.0%
1638 459
 
1.8%
1641 400
 
1.5%
1642 309
 
1.2%
1051 307
 
1.2%
1052 222
 
0.8%
Other values (1504) 16762
64.0%
ValueCountFrequency (%)
0 1174
4.5%
1 110
 
0.4%
2 51
 
0.2%
3 44
 
0.2%
4 30
 
0.1%
5 24
 
0.1%
6 20
 
0.1%
7 18
 
0.1%
8 17
 
0.1%
9 22
 
0.1%
ValueCountFrequency (%)
1646 1
 
< 0.1%
1645 15
 
0.1%
1644 53
 
0.2%
1643 164
 
0.6%
1642 309
 
1.2%
1641 400
 
1.5%
1640 523
 
2.0%
1639 1619
6.2%
1638 459
 
1.8%
1637 215
 
0.8%

Generator RPM StdDev [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct481
Distinct (%)1.8%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean54.075593
Minimum0
Maximum722
Zeros1096
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:01.749196image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median28
Q372
95-th percentile187
Maximum722
Range722
Interquartile range (IQR)65

Descriptive statistics

Standard deviation77.452263
Coefficient of variation (CV)1.4322961
Kurtosis12.269015
Mean54.075593
Median Absolute Deviation (MAD)24
Skewness3.0944858
Sum1417105
Variance5998.8531
MonotonicityNot monotonic
2025-05-15T14:10:01.830437image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1317
 
5.0%
0 1096
 
4.2%
3 878
 
3.4%
5 829
 
3.2%
4 793
 
3.0%
6 727
 
2.8%
7 637
 
2.4%
8 601
 
2.3%
1 543
 
2.1%
9 535
 
2.0%
Other values (471) 18250
69.6%
ValueCountFrequency (%)
0 1096
4.2%
1 543
2.1%
2 1317
5.0%
3 878
3.4%
4 793
3.0%
5 829
3.2%
6 727
2.8%
7 637
2.4%
8 601
2.3%
9 535
2.0%
ValueCountFrequency (%)
722 3
< 0.1%
718 1
 
< 0.1%
717 1
 
< 0.1%
716 2
< 0.1%
715 1
 
< 0.1%
712 1
 
< 0.1%
711 1
 
< 0.1%
710 1
 
< 0.1%
709 1
 
< 0.1%
708 1
 
< 0.1%

Generator Bearing Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct68
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean38.851408
Minimum20
Maximum87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:01.908442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile29
Q132
median36
Q342
95-th percentile62
Maximum87
Range67
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.6868846
Coefficient of variation (CV)0.24933162
Kurtosis2.0241894
Mean38.851408
Median Absolute Deviation (MAD)5
Skewness1.4628105
Sum1018140
Variance93.835733
MonotonicityNot monotonic
2025-05-15T14:10:01.990267image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32 3364
 
12.8%
31 2496
 
9.5%
33 1973
 
7.5%
40 1415
 
5.4%
38 1254
 
4.8%
34 1232
 
4.7%
39 1152
 
4.4%
30 995
 
3.8%
37 943
 
3.6%
41 877
 
3.3%
Other values (58) 10505
40.1%
ValueCountFrequency (%)
20 35
 
0.1%
21 18
 
0.1%
22 7
 
< 0.1%
23 8
 
< 0.1%
24 13
 
< 0.1%
25 18
 
0.1%
26 159
 
0.6%
27 293
1.1%
28 539
2.1%
29 539
2.1%
ValueCountFrequency (%)
87 1
 
< 0.1%
86 1
 
< 0.1%
85 1
 
< 0.1%
84 1
 
< 0.1%
83 2
 
< 0.1%
82 3
 
< 0.1%
81 2
 
< 0.1%
80 4
 
< 0.1%
79 4
 
< 0.1%
78 41
0.2%

Generator Phase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct95
Distinct (%)0.4%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean50.261314
Minimum18
Maximum112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:02.071714image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile29
Q137
median43
Q361
95-th percentile95
Maximum112
Range94
Interquartile range (IQR)24

Descriptive statistics

Standard deviation19.825428
Coefficient of variation (CV)0.39444707
Kurtosis0.42828329
Mean50.261314
Median Absolute Deviation (MAD)10
Skewness1.1253811
Sum1317148
Variance393.04761
MonotonicityNot monotonic
2025-05-15T14:10:02.148971image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38 1532
 
5.8%
39 1366
 
5.2%
40 1246
 
4.8%
30 970
 
3.7%
37 922
 
3.5%
29 885
 
3.4%
28 879
 
3.4%
41 869
 
3.3%
42 771
 
2.9%
36 671
 
2.6%
Other values (85) 16095
61.4%
ValueCountFrequency (%)
18 1
 
< 0.1%
19 6
 
< 0.1%
20 5
 
< 0.1%
21 4
 
< 0.1%
22 9
 
< 0.1%
23 29
 
0.1%
24 14
 
0.1%
25 40
 
0.2%
26 58
 
0.2%
27 188
0.7%
ValueCountFrequency (%)
112 6
 
< 0.1%
111 5
 
< 0.1%
110 25
 
0.1%
109 24
 
0.1%
108 6
 
< 0.1%
107 13
 
< 0.1%
106 6
 
< 0.1%
105 37
 
0.1%
104 107
0.4%
103 181
0.7%

Generator Phase2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct98
Distinct (%)0.4%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean51.906014
Minimum19
Maximum116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:02.225922image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile29
Q138
median44
Q363
95-th percentile99
Maximum116
Range97
Interquartile range (IQR)25

Descriptive statistics

Standard deviation20.836817
Coefficient of variation (CV)0.40143357
Kurtosis0.32709263
Mean51.906014
Median Absolute Deviation (MAD)11
Skewness1.0809228
Sum1360249
Variance434.17293
MonotonicityNot monotonic
2025-05-15T14:10:02.305716image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 1506
 
5.7%
39 1160
 
4.4%
41 1083
 
4.1%
42 990
 
3.8%
38 909
 
3.5%
29 872
 
3.3%
28 849
 
3.2%
30 847
 
3.2%
43 738
 
2.8%
44 697
 
2.7%
Other values (88) 16555
63.2%
ValueCountFrequency (%)
19 6
 
< 0.1%
20 4
 
< 0.1%
21 8
 
< 0.1%
22 20
 
0.1%
23 21
 
0.1%
24 13
 
< 0.1%
25 40
 
0.2%
26 54
 
0.2%
27 165
 
0.6%
28 849
3.2%
ValueCountFrequency (%)
116 5
 
< 0.1%
115 5
 
< 0.1%
114 37
 
0.1%
113 11
 
< 0.1%
112 9
 
< 0.1%
111 11
 
< 0.1%
110 4
 
< 0.1%
109 16
 
0.1%
108 94
0.4%
107 171
0.7%

Generator Phase3 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct96
Distinct (%)0.4%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean51.249943
Minimum19
Maximum114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:02.384149image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile29
Q138
median44
Q362
95-th percentile97
Maximum114
Range95
Interquartile range (IQR)24

Descriptive statistics

Standard deviation20.227154
Coefficient of variation (CV)0.39467661
Kurtosis0.36744806
Mean51.249943
Median Absolute Deviation (MAD)11
Skewness1.0942283
Sum1343056
Variance409.13776
MonotonicityNot monotonic
2025-05-15T14:10:02.461338image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 1381
 
5.3%
39 1358
 
5.2%
38 1030
 
3.9%
41 1023
 
3.9%
42 934
 
3.6%
30 902
 
3.4%
29 899
 
3.4%
28 750
 
2.9%
43 708
 
2.7%
44 694
 
2.6%
Other values (86) 16527
63.1%
ValueCountFrequency (%)
19 6
 
< 0.1%
20 4
 
< 0.1%
21 4
 
< 0.1%
22 10
 
< 0.1%
23 30
 
0.1%
24 14
 
0.1%
25 37
 
0.1%
26 48
 
0.2%
27 150
 
0.6%
28 750
2.9%
ValueCountFrequency (%)
114 5
 
< 0.1%
113 5
 
< 0.1%
112 12
 
< 0.1%
111 37
 
0.1%
110 7
 
< 0.1%
109 11
 
< 0.1%
108 8
 
< 0.1%
107 18
 
0.1%
106 72
 
0.3%
105 188
0.7%

Generator SlipRing Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct32
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean25.7612
Minimum14
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:02.526997image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile20
Q123
median25
Q328
95-th percentile33
Maximum45
Range31
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.12009
Coefficient of variation (CV)0.15993393
Kurtosis0.53411359
Mean25.7612
Median Absolute Deviation (MAD)3
Skewness0.69041251
Sum675098
Variance16.975142
MonotonicityNot monotonic
2025-05-15T14:10:02.593139image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
25 2886
11.0%
27 2506
9.6%
23 2303
8.8%
21 2232
8.5%
26 2223
8.5%
24 2208
8.4%
22 2177
8.3%
28 2147
8.2%
20 1361
 
5.2%
31 1004
 
3.8%
Other values (22) 5159
19.7%
ValueCountFrequency (%)
14 3
 
< 0.1%
15 37
 
0.1%
16 15
 
0.1%
17 21
 
0.1%
18 49
 
0.2%
19 391
 
1.5%
20 1361
5.2%
21 2232
8.5%
22 2177
8.3%
23 2303
8.8%
ValueCountFrequency (%)
45 1
 
< 0.1%
44 9
 
< 0.1%
43 12
 
< 0.1%
42 26
 
0.1%
41 36
 
0.1%
40 28
 
0.1%
39 50
 
0.2%
38 65
 
0.2%
37 99
0.4%
36 197
0.8%

Generator Bearing2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct66
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean45.043616
Minimum21
Maximum91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:02.666394image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile30
Q136
median43
Q352
95-th percentile66
Maximum91
Range70
Interquartile range (IQR)16

Descriptive statistics

Standard deviation11.119279
Coefficient of variation (CV)0.24685582
Kurtosis-0.34129982
Mean45.043616
Median Absolute Deviation (MAD)8
Skewness0.62351266
Sum1180413
Variance123.63836
MonotonicityNot monotonic
2025-05-15T14:10:02.889736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 1552
 
5.9%
35 1516
 
5.8%
34 1299
 
5.0%
37 1121
 
4.3%
38 1057
 
4.0%
40 874
 
3.3%
48 843
 
3.2%
39 838
 
3.2%
41 821
 
3.1%
42 766
 
2.9%
Other values (56) 15519
59.2%
ValueCountFrequency (%)
21 32
 
0.1%
22 15
 
0.1%
23 10
 
< 0.1%
24 10
 
< 0.1%
25 9
 
< 0.1%
26 51
 
0.2%
27 210
0.8%
28 220
0.8%
29 361
1.4%
30 436
1.7%
ValueCountFrequency (%)
91 1
 
< 0.1%
88 2
 
< 0.1%
87 1
 
< 0.1%
86 1
 
< 0.1%
82 2
 
< 0.1%
81 3
 
< 0.1%
80 5
 
< 0.1%
79 19
0.1%
78 24
0.1%
77 19
0.1%

Generator CoolingWater Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct37
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean31.975769
Minimum18
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:02.965009image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile28
Q129
median30
Q335
95-th percentile40
Maximum54
Range36
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.2409746
Coefficient of variation (CV)0.13263089
Kurtosis0.76036028
Mean31.975769
Median Absolute Deviation (MAD)2
Skewness0.87648942
Sum837957
Variance17.985866
MonotonicityNot monotonic
2025-05-15T14:10:03.035630image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
28 5385
20.5%
29 5013
19.1%
34 3102
11.8%
35 2995
11.4%
30 1863
 
7.1%
36 1125
 
4.3%
31 911
 
3.5%
33 836
 
3.2%
32 783
 
3.0%
27 757
 
2.9%
Other values (27) 3436
13.1%
ValueCountFrequency (%)
18 9
 
< 0.1%
19 18
 
0.1%
20 29
 
0.1%
21 27
 
0.1%
22 14
 
0.1%
23 13
 
< 0.1%
24 15
 
0.1%
25 42
 
0.2%
26 84
 
0.3%
27 757
2.9%
ValueCountFrequency (%)
54 5
 
< 0.1%
53 7
 
< 0.1%
52 1
 
< 0.1%
51 3
 
< 0.1%
50 11
 
< 0.1%
49 6
 
< 0.1%
48 23
 
0.1%
47 59
0.2%
46 86
0.3%
45 34
 
0.1%

Hydraulic Oil Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct40
Distinct (%)0.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean49.755476
Minimum20
Maximum59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:03.108487image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile44
Q147
median50
Q353
95-th percentile54
Maximum59
Range39
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.5245539
Coefficient of variation (CV)0.070837507
Kurtosis9.6613209
Mean49.755476
Median Absolute Deviation (MAD)3
Skewness-1.7845131
Sum1303892
Variance12.42248
MonotonicityNot monotonic
2025-05-15T14:10:03.182049image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
53 4326
16.5%
52 3429
13.1%
54 2482
9.5%
50 2445
9.3%
51 2376
9.1%
48 2135
8.1%
49 2080
7.9%
45 1848
7.1%
46 1834
7.0%
47 1733
6.6%
Other values (30) 1518
 
5.8%
ValueCountFrequency (%)
20 16
0.1%
21 12
< 0.1%
22 8
< 0.1%
23 8
< 0.1%
24 7
< 0.1%
25 7
< 0.1%
26 6
 
< 0.1%
27 6
 
< 0.1%
28 7
< 0.1%
29 5
 
< 0.1%
ValueCountFrequency (%)
59 3
 
< 0.1%
58 8
 
< 0.1%
57 12
 
< 0.1%
56 36
 
0.1%
55 61
 
0.2%
54 2482
9.5%
53 4326
16.5%
52 3429
13.1%
51 2376
9.1%
50 2445
9.3%

Gear Oil Temp. Avg. [°C]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Memory size2.6 MiB
999.0
26206 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters131030
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.0
2nd row999.0
3rd row999.0
4th row999.0
5th row999.0

Common Values

ValueCountFrequency (%)
999.0 26206
> 99.9%
(Missing) 2
 
< 0.1%

Length

2025-05-15T14:10:03.248822image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:10:03.283702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
999.0 26206
100.0%

Most occurring characters

ValueCountFrequency (%)
9 78618
60.0%
. 26206
 
20.0%
0 26206
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 131030
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 78618
60.0%
. 26206
 
20.0%
0 26206
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 131030
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 78618
60.0%
. 26206
 
20.0%
0 26206
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 131030
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 78618
60.0%
. 26206
 
20.0%
0 26206
 
20.0%

Gear Bearing Temp. Avg. [°C]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Memory size2.6 MiB
999.0
26206 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters131030
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.0
2nd row999.0
3rd row999.0
4th row999.0
5th row999.0

Common Values

ValueCountFrequency (%)
999.0 26206
> 99.9%
(Missing) 2
 
< 0.1%

Length

2025-05-15T14:10:03.323666image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:10:03.357512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
999.0 26206
100.0%

Most occurring characters

ValueCountFrequency (%)
9 78618
60.0%
. 26206
 
20.0%
0 26206
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 131030
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 78618
60.0%
. 26206
 
20.0%
0 26206
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 131030
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 78618
60.0%
. 26206
 
20.0%
0 26206
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 131030
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 78618
60.0%
. 26206
 
20.0%
0 26206
 
20.0%

Gear Oil TemperatureBasis Avg. [°C]
Real number (ℝ)

High correlation 

Distinct52
Distinct (%)0.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean57.428795
Minimum19
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:03.409708image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile46
Q154
median57
Q363
95-th percentile68
Maximum70
Range51
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.7395991
Coefficient of variation (CV)0.11735575
Kurtosis1.9509409
Mean57.428795
Median Absolute Deviation (MAD)4
Skewness-0.68626
Sum1504979
Variance45.422195
MonotonicityNot monotonic
2025-05-15T14:10:03.492657image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55 3513
 
13.4%
56 2440
 
9.3%
54 1525
 
5.8%
57 1482
 
5.7%
68 1413
 
5.4%
65 1284
 
4.9%
67 1200
 
4.6%
58 1076
 
4.1%
59 1010
 
3.9%
63 990
 
3.8%
Other values (42) 10273
39.2%
ValueCountFrequency (%)
19 11
< 0.1%
20 11
< 0.1%
21 12
< 0.1%
22 8
< 0.1%
23 11
< 0.1%
24 8
< 0.1%
25 9
< 0.1%
26 8
< 0.1%
27 10
< 0.1%
28 12
< 0.1%
ValueCountFrequency (%)
70 8
 
< 0.1%
69 99
 
0.4%
68 1413
5.4%
67 1200
4.6%
66 922
3.5%
65 1284
4.9%
64 978
3.7%
63 990
3.8%
62 869
3.3%
61 935
3.6%

Gear Oil TemperatureLevel1 Avg. [°C]
Real number (ℝ)

High correlation 

Distinct34
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean48.789018
Minimum23
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:03.562072image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile45
Q149
median49
Q349
95-th percentile51
Maximum56
Range33
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.4425979
Coefficient of variation (CV)0.050064501
Kurtosis40.012427
Mean48.789018
Median Absolute Deviation (MAD)0
Skewness-5.0556477
Sum1278565
Variance5.9662843
MonotonicityNot monotonic
2025-05-15T14:10:03.630754image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
49 17888
68.3%
51 3088
 
11.8%
50 1463
 
5.6%
48 740
 
2.8%
47 546
 
2.1%
46 455
 
1.7%
45 369
 
1.4%
44 349
 
1.3%
52 283
 
1.1%
43 246
 
0.9%
Other values (24) 779
 
3.0%
ValueCountFrequency (%)
23 38
0.1%
24 11
 
< 0.1%
25 8
 
< 0.1%
26 7
 
< 0.1%
27 10
 
< 0.1%
28 7
 
< 0.1%
29 5
 
< 0.1%
30 13
 
< 0.1%
31 12
 
< 0.1%
32 39
0.1%
ValueCountFrequency (%)
56 12
 
< 0.1%
55 27
 
0.1%
54 101
 
0.4%
53 42
 
0.2%
52 283
 
1.1%
51 3088
 
11.8%
50 1463
 
5.6%
49 17888
68.3%
48 740
 
2.8%
47 546
 
2.1%
Distinct1
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26206 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78618
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26206
> 99.9%
(Missing) 2
 
< 0.1%

Length

2025-05-15T14:10:03.697105image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:10:03.732148image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26206
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Gear Bearing TemperatureHSRotorEnd Avg. [°C]
Real number (ℝ)

High correlation 

Distinct51
Distinct (%)0.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean59.956346
Minimum25
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:03.780900image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile44
Q154
median59
Q369
95-th percentile73
Maximum75
Range50
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.2611707
Coefficient of variation (CV)0.15446523
Kurtosis-0.67364421
Mean59.956346
Median Absolute Deviation (MAD)7
Skewness-0.22665424
Sum1571216
Variance85.769283
MonotonicityNot monotonic
2025-05-15T14:10:03.858937image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73 2467
 
9.4%
72 1503
 
5.7%
55 1457
 
5.6%
56 1432
 
5.5%
54 1320
 
5.0%
57 1203
 
4.6%
71 1144
 
4.4%
58 1041
 
4.0%
59 978
 
3.7%
70 799
 
3.0%
Other values (41) 12862
49.1%
ValueCountFrequency (%)
25 7
< 0.1%
26 15
0.1%
27 11
< 0.1%
28 9
< 0.1%
29 9
< 0.1%
30 9
< 0.1%
31 7
< 0.1%
32 7
< 0.1%
33 8
< 0.1%
34 11
< 0.1%
ValueCountFrequency (%)
75 12
 
< 0.1%
74 178
 
0.7%
73 2467
9.4%
72 1503
5.7%
71 1144
4.4%
70 799
 
3.0%
69 745
 
2.8%
68 640
 
2.4%
67 600
 
2.3%
66 606
 
2.3%

Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]
Real number (ℝ)

High correlation 

Distinct57
Distinct (%)0.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean59.639815
Minimum23
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:03.934083image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile44
Q154
median58
Q367
95-th percentile76
Maximum79
Range56
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.5077775
Coefficient of variation (CV)0.15941997
Kurtosis-0.35837201
Mean59.639815
Median Absolute Deviation (MAD)6
Skewness-0.0025791323
Sum1562921
Variance90.397833
MonotonicityNot monotonic
2025-05-15T14:10:04.008208image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56 1990
 
7.6%
55 1672
 
6.4%
57 1427
 
5.4%
58 1271
 
4.8%
54 1267
 
4.8%
59 1130
 
4.3%
76 1092
 
4.2%
60 795
 
3.0%
61 793
 
3.0%
50 738
 
2.8%
Other values (47) 14031
53.5%
ValueCountFrequency (%)
23 6
< 0.1%
24 13
< 0.1%
25 10
< 0.1%
26 7
< 0.1%
27 8
< 0.1%
28 10
< 0.1%
29 8
< 0.1%
30 7
< 0.1%
31 6
< 0.1%
32 6
< 0.1%
ValueCountFrequency (%)
79 19
 
0.1%
78 79
 
0.3%
77 432
 
1.6%
76 1092
4.2%
75 640
2.4%
74 598
2.3%
73 511
1.9%
72 652
2.5%
71 597
2.3%
70 563
2.1%

Gear Bearing TemperatureHSMiddle Avg. [°C]
Real number (ℝ)

High correlation 

Distinct54
Distinct (%)0.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean58.497749
Minimum24
Maximum77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:04.084978image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile45
Q155
median56
Q364
95-th percentile75
Maximum77
Range53
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.5371683
Coefficient of variation (CV)0.14594012
Kurtosis0.067698922
Mean58.497749
Median Absolute Deviation (MAD)5
Skewness0.14113449
Sum1532992
Variance72.883242
MonotonicityNot monotonic
2025-05-15T14:10:04.161221image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55 4205
 
16.0%
56 3000
 
11.4%
57 1429
 
5.5%
75 1205
 
4.6%
58 973
 
3.7%
59 902
 
3.4%
60 815
 
3.1%
54 777
 
3.0%
61 697
 
2.7%
51 680
 
2.6%
Other values (44) 11523
44.0%
ValueCountFrequency (%)
24 15
0.1%
25 10
< 0.1%
26 8
< 0.1%
27 8
< 0.1%
28 8
< 0.1%
29 9
< 0.1%
30 8
< 0.1%
31 6
 
< 0.1%
32 7
< 0.1%
33 9
< 0.1%
ValueCountFrequency (%)
77 36
 
0.1%
76 88
 
0.3%
75 1205
4.6%
74 633
2.4%
73 485
1.9%
72 485
1.9%
71 401
 
1.5%
70 410
 
1.6%
69 481
 
1.8%
68 481
 
1.8%

Gear Bearing TemperatureHollowShaftRotor Avg. [°C]
Real number (ℝ)

High correlation 

Distinct46
Distinct (%)0.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean63.649699
Minimum27
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:04.234190image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile46
Q164
median65
Q369
95-th percentile71
Maximum72
Range45
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.7423996
Coefficient of variation (CV)0.12164079
Kurtosis1.6781858
Mean63.649699
Median Absolute Deviation (MAD)4
Skewness-1.5506953
Sum1668004
Variance59.944752
MonotonicityNot monotonic
2025-05-15T14:10:04.309952image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
65 6545
25.0%
70 4419
16.9%
71 1865
 
7.1%
66 1796
 
6.9%
69 1670
 
6.4%
68 1446
 
5.5%
67 1288
 
4.9%
64 832
 
3.2%
52 453
 
1.7%
50 411
 
1.6%
Other values (36) 5481
20.9%
ValueCountFrequency (%)
27 12
< 0.1%
28 13
< 0.1%
29 8
< 0.1%
30 9
< 0.1%
31 7
< 0.1%
32 8
< 0.1%
33 7
< 0.1%
34 7
< 0.1%
35 6
< 0.1%
36 5
 
< 0.1%
ValueCountFrequency (%)
72 25
 
0.1%
71 1865
 
7.1%
70 4419
16.9%
69 1670
 
6.4%
68 1446
 
5.5%
67 1288
 
4.9%
66 1796
 
6.9%
65 6545
25.0%
64 832
 
3.2%
63 396
 
1.5%
Distinct53
Distinct (%)0.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean62.847478
Minimum25
Maximum77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:04.530803image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile44
Q162
median63
Q369
95-th percentile75
Maximum77
Range52
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.9507703
Coefficient of variation (CV)0.14242052
Kurtosis0.75779944
Mean62.847478
Median Absolute Deviation (MAD)5
Skewness-0.99265327
Sum1646981
Variance80.11629
MonotonicityNot monotonic
2025-05-15T14:10:04.610083image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63 6709
25.6%
75 1559
 
5.9%
64 1557
 
5.9%
65 1118
 
4.3%
72 1006
 
3.8%
74 998
 
3.8%
66 896
 
3.4%
67 891
 
3.4%
71 871
 
3.3%
62 827
 
3.2%
Other values (43) 9774
37.3%
ValueCountFrequency (%)
25 20
0.1%
26 12
< 0.1%
27 9
< 0.1%
28 9
< 0.1%
29 8
 
< 0.1%
30 9
< 0.1%
31 6
 
< 0.1%
32 7
 
< 0.1%
33 4
 
< 0.1%
34 15
0.1%
ValueCountFrequency (%)
77 20
 
0.1%
76 150
 
0.6%
75 1559
5.9%
74 998
3.8%
73 827
3.2%
72 1006
3.8%
71 871
3.3%
70 766
2.9%
69 789
3.0%
68 787
3.0%

Nacelle Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct29
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean27.378501
Minimum17
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:04.676325image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile23
Q124
median26
Q330
95-th percentile35
Maximum45
Range28
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.8298013
Coefficient of variation (CV)0.13988353
Kurtosis0.73850176
Mean27.378501
Median Absolute Deviation (MAD)2
Skewness1.035557
Sum717481
Variance14.667378
MonotonicityNot monotonic
2025-05-15T14:10:04.737776image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
24 5344
20.4%
25 4789
18.3%
27 2360
9.0%
28 2033
 
7.8%
26 1690
 
6.4%
23 1633
 
6.2%
29 1420
 
5.4%
30 1403
 
5.4%
34 1204
 
4.6%
32 1137
 
4.3%
Other values (19) 3193
12.2%
ValueCountFrequency (%)
17 17
 
0.1%
18 23
 
0.1%
19 17
 
0.1%
20 33
 
0.1%
21 19
 
0.1%
22 21
 
0.1%
23 1633
 
6.2%
24 5344
20.4%
25 4789
18.3%
26 1690
 
6.4%
ValueCountFrequency (%)
45 7
 
< 0.1%
44 15
 
0.1%
43 21
 
0.1%
42 42
 
0.2%
41 38
 
0.1%
40 44
 
0.2%
39 92
0.4%
38 156
0.6%
37 121
0.5%
36 144
0.5%

Avg. direction [°]
Real number (ℝ)

High correlation 

Distinct3325
Distinct (%)12.7%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean225.84018
Minimum0
Maximum359.6
Zeros9
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:04.808635image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile41.1
Q1124.2
median261.8
Q3312
95-th percentile338.7
Maximum359.6
Range359.6
Interquartile range (IQR)187.8

Descriptive statistics

Standard deviation100.23598
Coefficient of variation (CV)0.44383589
Kurtosis-1.0182456
Mean225.84018
Median Absolute Deviation (MAD)63.4
Skewness-0.58844692
Sum5918367.7
Variance10047.251
MonotonicityNot monotonic
2025-05-15T14:10:04.887304image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.4 178
 
0.7%
326.8 107
 
0.4%
102.4 98
 
0.4%
322.3 89
 
0.3%
317.6 82
 
0.3%
312 75
 
0.3%
313.2 74
 
0.3%
316.7 72
 
0.3%
311.4 68
 
0.3%
300.3 67
 
0.3%
Other values (3315) 25296
96.5%
ValueCountFrequency (%)
0 9
 
< 0.1%
0.4 37
 
0.1%
0.7 8
 
< 0.1%
0.8 1
 
< 0.1%
1.1 4
 
< 0.1%
1.4 178
0.7%
1.5 1
 
< 0.1%
1.8 15
 
0.1%
2.1 5
 
< 0.1%
2.3 1
 
< 0.1%
ValueCountFrequency (%)
359.6 10
< 0.1%
359.5 1
 
< 0.1%
359.1 1
 
< 0.1%
359 14
0.1%
358.6 2
 
< 0.1%
358.3 17
0.1%
358.1 1
 
< 0.1%
357.9 3
 
< 0.1%
357.8 1
 
< 0.1%
357.6 10
< 0.1%

Rotor RPM Max. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct156
Distinct (%)0.6%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean11.408219
Minimum0
Maximum19.8
Zeros1112
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:04.966692image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1
Q110.1
median12.1
Q315.7
95-th percentile16.7
Maximum19.8
Range19.8
Interquartile range (IQR)5.6

Descriptive statistics

Standard deviation4.9959528
Coefficient of variation (CV)0.43792572
Kurtosis0.087926061
Mean11.408219
Median Absolute Deviation (MAD)3.1
Skewness-1.0583159
Sum298963.8
Variance24.959544
MonotonicityNot monotonic
2025-05-15T14:10:05.047440image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.1 2899
 
11.1%
10.2 1552
 
5.9%
15.7 1540
 
5.9%
15.8 1521
 
5.8%
15.9 1228
 
4.7%
0 1112
 
4.2%
16 621
 
2.4%
15.6 560
 
2.1%
10.3 539
 
2.1%
11.2 344
 
1.3%
Other values (146) 14290
54.5%
ValueCountFrequency (%)
0 1112
4.2%
0.1 216
 
0.8%
0.2 85
 
0.3%
0.3 68
 
0.3%
0.4 75
 
0.3%
0.5 56
 
0.2%
0.6 49
 
0.2%
0.7 46
 
0.2%
0.8 40
 
0.2%
0.9 37
 
0.1%
ValueCountFrequency (%)
19.8 1
 
< 0.1%
18.2 1
 
< 0.1%
18.1 3
 
< 0.1%
18 4
 
< 0.1%
17.9 8
 
< 0.1%
17.8 13
 
< 0.1%
17.7 29
 
0.1%
17.6 31
0.1%
17.5 57
0.2%
17.4 73
0.3%

Rotor RPM Min. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct140
Distinct (%)0.5%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean9.307567
Minimum0
Maximum15.6
Zeros2029
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:05.126401image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19.6
median9.9
Q312.3
95-th percentile15.3
Maximum15.6
Range15.6
Interquartile range (IQR)2.7

Descriptive statistics

Standard deviation4.7157131
Coefficient of variation (CV)0.50665368
Kurtosis-0.43292854
Mean9.307567
Median Absolute Deviation (MAD)2.1
Skewness-0.83149289
Sum243914.1
Variance22.23795
MonotonicityNot monotonic
2025-05-15T14:10:05.208845image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.9 4953
18.9%
9.8 2086
 
8.0%
0 2029
 
7.7%
10 1608
 
6.1%
11.9 867
 
3.3%
15.4 570
 
2.2%
9.7 520
 
2.0%
15.3 501
 
1.9%
12 497
 
1.9%
11.8 458
 
1.7%
Other values (130) 12117
46.2%
ValueCountFrequency (%)
0 2029
7.7%
0.1 127
 
0.5%
0.2 46
 
0.2%
0.3 51
 
0.2%
0.4 50
 
0.2%
0.5 67
 
0.3%
0.6 84
 
0.3%
0.7 80
 
0.3%
0.8 113
 
0.4%
0.9 90
 
0.3%
ValueCountFrequency (%)
15.6 57
 
0.2%
15.5 342
1.3%
15.4 570
2.2%
15.3 501
1.9%
15.2 376
1.4%
15.1 322
1.2%
15 328
1.3%
14.9 307
1.2%
14.8 270
1.0%
14.7 269
1.0%

Rotor RPM Avg. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct157
Distinct (%)0.6%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean10.305987
Minimum0
Maximum15.6
Zeros1515
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:05.291093image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median10.4
Q314.7
95-th percentile15.6
Maximum15.6
Range15.6
Interquartile range (IQR)4.7

Descriptive statistics

Standard deviation4.8275612
Coefficient of variation (CV)0.46842297
Kurtosis-0.20908174
Mean10.305987
Median Absolute Deviation (MAD)3.2
Skewness-0.8977828
Sum270078.7
Variance23.305347
MonotonicityNot monotonic
2025-05-15T14:10:05.373012image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 5776
22.0%
15.6 3994
 
15.2%
0 1515
 
5.8%
15.5 782
 
3.0%
10.1 701
 
2.7%
10.2 437
 
1.7%
15.4 363
 
1.4%
10.3 356
 
1.4%
10.4 297
 
1.1%
15.3 297
 
1.1%
Other values (147) 11688
44.6%
ValueCountFrequency (%)
0 1515
5.8%
0.1 148
 
0.6%
0.2 104
 
0.4%
0.3 82
 
0.3%
0.4 59
 
0.2%
0.5 57
 
0.2%
0.6 42
 
0.2%
0.7 40
 
0.2%
0.8 43
 
0.2%
0.9 48
 
0.2%
ValueCountFrequency (%)
15.6 3994
15.2%
15.5 782
 
3.0%
15.4 363
 
1.4%
15.3 297
 
1.1%
15.2 237
 
0.9%
15.1 191
 
0.7%
15 183
 
0.7%
14.9 185
 
0.7%
14.8 171
 
0.7%
14.7 182
 
0.7%

Rotor RPM StdDev [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct68
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.47529573
Minimum0
Maximum6.9
Zeros7971
Zeros (%)30.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:05.453454image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.2
Q30.6
95-th percentile1.7
Maximum6.9
Range6.9
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.73690946
Coefficient of variation (CV)1.550423
Kurtosis12.396427
Mean0.47529573
Median Absolute Deviation (MAD)0.2
Skewness3.1127651
Sum12455.6
Variance0.54303555
MonotonicityNot monotonic
2025-05-15T14:10:05.532548image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7971
30.4%
0.1 3435
13.1%
0.2 2374
 
9.1%
0.3 1901
 
7.3%
0.4 1514
 
5.8%
0.5 1334
 
5.1%
0.6 1244
 
4.7%
0.7 1073
 
4.1%
0.8 970
 
3.7%
0.9 841
 
3.2%
Other values (58) 3549
13.5%
ValueCountFrequency (%)
0 7971
30.4%
0.1 3435
13.1%
0.2 2374
 
9.1%
0.3 1901
 
7.3%
0.4 1514
 
5.8%
0.5 1334
 
5.1%
0.6 1244
 
4.7%
0.7 1073
 
4.1%
0.8 970
 
3.7%
0.9 841
 
3.2%
ValueCountFrequency (%)
6.9 3
< 0.1%
6.8 6
< 0.1%
6.7 5
< 0.1%
6.6 1
 
< 0.1%
6.5 4
< 0.1%
6.4 1
 
< 0.1%
6.3 1
 
< 0.1%
6.2 1
 
< 0.1%
6.1 1
 
< 0.1%
6 1
 
< 0.1%

Ambient WindSpeed Max. [m/s]
Real number (ℝ)

High correlation 

Distinct346
Distinct (%)1.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean9.4553499
Minimum0.8
Maximum38.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:05.610756image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.8
5-th percentile3.2
Q15.4
median8
Q311.9
95-th percentile20.5
Maximum38.1
Range37.3
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation5.6205073
Coefficient of variation (CV)0.59442615
Kurtosis1.9272125
Mean9.4553499
Median Absolute Deviation (MAD)3
Skewness1.3396088
Sum247786.9
Variance31.590102
MonotonicityNot monotonic
2025-05-15T14:10:05.688500image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.9 291
 
1.1%
7.4 287
 
1.1%
7 287
 
1.1%
5.5 286
 
1.1%
8 278
 
1.1%
4.6 277
 
1.1%
5.3 274
 
1.0%
4.8 264
 
1.0%
6.9 264
 
1.0%
7.2 262
 
1.0%
Other values (336) 23436
89.4%
ValueCountFrequency (%)
0.8 3
 
< 0.1%
0.9 2
 
< 0.1%
1 6
 
< 0.1%
1.1 4
 
< 0.1%
1.2 15
 
0.1%
1.3 15
 
0.1%
1.4 13
 
< 0.1%
1.5 17
 
0.1%
1.6 25
0.1%
1.7 44
0.2%
ValueCountFrequency (%)
38.1 1
 
< 0.1%
37.8 1
 
< 0.1%
37.3 1
 
< 0.1%
36.7 1
 
< 0.1%
36.5 1
 
< 0.1%
36.4 1
 
< 0.1%
36.3 2
< 0.1%
36.1 1
 
< 0.1%
35.9 1
 
< 0.1%
35.8 3
< 0.1%

Ambient WindSpeed Min. [m/s]
Real number (ℝ)

High correlation 

Distinct173
Distinct (%)0.7%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.8876059
Minimum0.3
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:05.767056image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.6
Q11.9
median3.4
Q35.2
95-th percentile8.8
Maximum26
Range25.7
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation2.6184328
Coefficient of variation (CV)0.67353351
Kurtosis1.9000374
Mean3.8876059
Median Absolute Deviation (MAD)1.6
Skewness1.1654908
Sum101878.6
Variance6.8561906
MonotonicityNot monotonic
2025-05-15T14:10:05.846809image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.3 509
 
1.9%
3.7 492
 
1.9%
3.6 490
 
1.9%
3.4 490
 
1.9%
1.4 489
 
1.9%
1.8 469
 
1.8%
3.5 468
 
1.8%
1.2 461
 
1.8%
0.3 461
 
1.8%
1.3 458
 
1.7%
Other values (163) 21419
81.7%
ValueCountFrequency (%)
0.3 461
1.8%
0.4 336
1.3%
0.5 246
0.9%
0.6 296
1.1%
0.7 313
1.2%
0.8 315
1.2%
0.9 373
1.4%
1 404
1.5%
1.1 425
1.6%
1.2 461
1.8%
ValueCountFrequency (%)
26 1
< 0.1%
19.4 2
< 0.1%
19.1 1
< 0.1%
18.9 1
< 0.1%
18.8 1
< 0.1%
18.7 1
< 0.1%
18.5 1
< 0.1%
18.1 1
< 0.1%
17.9 1
< 0.1%
17.8 1
< 0.1%

Ambient WindSpeed Avg. [m/s]
Real number (ℝ)

High correlation 

Distinct275
Distinct (%)1.0%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean6.6157559
Minimum0.4
Maximum33.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:06.069608image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile1.9
Q13.7
median5.5
Q38.5
95-th percentile15
Maximum33.1
Range32.7
Interquartile range (IQR)4.8

Descriptive statistics

Standard deviation4.1844581
Coefficient of variation (CV)0.63249887
Kurtosis2.5788615
Mean6.6157559
Median Absolute Deviation (MAD)2.2
Skewness1.4588413
Sum173372.5
Variance17.50969
MonotonicityNot monotonic
2025-05-15T14:10:06.147960image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 442
 
1.7%
4.1 439
 
1.7%
3.9 425
 
1.6%
3.8 425
 
1.6%
4.2 423
 
1.6%
3.7 406
 
1.5%
4.3 401
 
1.5%
4.5 377
 
1.4%
3.5 367
 
1.4%
4.4 362
 
1.4%
Other values (265) 22139
84.5%
ValueCountFrequency (%)
0.4 6
 
< 0.1%
0.5 23
 
0.1%
0.6 26
 
0.1%
0.7 31
 
0.1%
0.8 43
0.2%
0.9 59
0.2%
1 68
0.3%
1.1 82
0.3%
1.2 83
0.3%
1.3 97
0.4%
ValueCountFrequency (%)
33.1 1
< 0.1%
31.2 1
< 0.1%
30.9 1
< 0.1%
29 1
< 0.1%
28.7 1
< 0.1%
28.5 1
< 0.1%
28.4 1
< 0.1%
28.2 1
< 0.1%
27.9 1
< 0.1%
27.8 1
< 0.1%

Ambient WindSpeed StdDev [m/s]
Real number (ℝ)

High correlation 

Distinct48
Distinct (%)0.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.86912921
Minimum0
Maximum5.9
Zeros22
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:06.225566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.4
median0.7
Q31.1
95-th percentile2.1
Maximum5.9
Range5.9
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.62003519
Coefficient of variation (CV)0.71339818
Kurtosis3.6555122
Mean0.86912921
Median Absolute Deviation (MAD)0.3
Skewness1.6712906
Sum22776.4
Variance0.38444364
MonotonicityNot monotonic
2025-05-15T14:10:06.301765image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0.5 2913
11.1%
0.6 2607
 
9.9%
0.4 2529
 
9.6%
0.7 2204
 
8.4%
0.3 2060
 
7.9%
0.8 1817
 
6.9%
0.2 1596
 
6.1%
0.9 1497
 
5.7%
1 1260
 
4.8%
1.1 1067
 
4.1%
Other values (38) 6656
25.4%
ValueCountFrequency (%)
0 22
 
0.1%
0.1 451
 
1.7%
0.2 1596
6.1%
0.3 2060
7.9%
0.4 2529
9.6%
0.5 2913
11.1%
0.6 2607
9.9%
0.7 2204
8.4%
0.8 1817
6.9%
0.9 1497
5.7%
ValueCountFrequency (%)
5.9 1
 
< 0.1%
4.7 3
 
< 0.1%
4.5 1
 
< 0.1%
4.4 4
 
< 0.1%
4.3 8
< 0.1%
4.2 5
 
< 0.1%
4.1 5
 
< 0.1%
4 13
< 0.1%
3.9 9
< 0.1%
3.8 8
< 0.1%

Ambient WindDir Relative Avg. [°]
Real number (ℝ)

High correlation 

Distinct1995
Distinct (%)7.6%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-2.9586125
Minimum-179.9
Maximum179.9
Zeros150
Zeros (%)0.6%
Negative22339
Negative (%)85.2%
Memory size1.4 MiB
2025-05-15T14:10:06.376085image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-179.9
5-th percentile-21.275
Q1-4.8
median-3.1
Q3-1.3
95-th percentile15.975
Maximum179.9
Range359.8
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation26.44357
Coefficient of variation (CV)-8.9378282
Kurtosis19.486921
Mean-2.9586125
Median Absolute Deviation (MAD)1.7
Skewness0.087349216
Sum-77533.4
Variance699.26241
MonotonicityNot monotonic
2025-05-15T14:10:06.453478image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-3 457
 
1.7%
-3.3 443
 
1.7%
-3.5 440
 
1.7%
-3.1 440
 
1.7%
-3.2 431
 
1.6%
-2.8 424
 
1.6%
-2.7 422
 
1.6%
-2.6 422
 
1.6%
-2.9 414
 
1.6%
-3.4 403
 
1.5%
Other values (1985) 21910
83.6%
ValueCountFrequency (%)
-179.9 1
< 0.1%
-179.7 1
< 0.1%
-179.2 1
< 0.1%
-178.7 2
< 0.1%
-178.2 1
< 0.1%
-177.7 1
< 0.1%
-177.6 2
< 0.1%
-177.5 1
< 0.1%
-176.9 1
< 0.1%
-176 1
< 0.1%
ValueCountFrequency (%)
179.9 1
< 0.1%
179 1
< 0.1%
178.9 1
< 0.1%
178.7 1
< 0.1%
177.8 1
< 0.1%
177.6 2
< 0.1%
177.3 1
< 0.1%
177.2 2
< 0.1%
177.1 1
< 0.1%
176.8 1
< 0.1%

Ambient WindDir Absolute Avg. [°]
Real number (ℝ)

High correlation 

Distinct3515
Distinct (%)13.4%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean223.69925
Minimum0
Maximum359.9
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:06.531022image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile38.8
Q1122.8
median261
Q3309.4
95-th percentile338.2
Maximum359.9
Range359.9
Interquartile range (IQR)186.6

Descriptive statistics

Standard deviation100.66587
Coefficient of variation (CV)0.45000541
Kurtosis-1.0384765
Mean223.69925
Median Absolute Deviation (MAD)62.5
Skewness-0.58257777
Sum5862262.6
Variance10133.618
MonotonicityNot monotonic
2025-05-15T14:10:06.612893image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
308.8 40
 
0.2%
317.6 36
 
0.1%
309.6 36
 
0.1%
318.5 35
 
0.1%
304.3 35
 
0.1%
309.2 34
 
0.1%
310.1 34
 
0.1%
311.6 34
 
0.1%
299.2 33
 
0.1%
319.7 33
 
0.1%
Other values (3505) 25856
98.7%
ValueCountFrequency (%)
0 6
< 0.1%
0.1 4
< 0.1%
0.2 4
< 0.1%
0.4 4
< 0.1%
0.5 5
< 0.1%
0.6 9
< 0.1%
0.7 4
< 0.1%
0.8 2
 
< 0.1%
0.9 7
< 0.1%
1 3
 
< 0.1%
ValueCountFrequency (%)
359.9 3
 
< 0.1%
359.8 3
 
< 0.1%
359.7 1
 
< 0.1%
359.6 2
 
< 0.1%
359.5 1
 
< 0.1%
359.4 6
< 0.1%
359.3 6
< 0.1%
359.2 10
< 0.1%
359.1 2
 
< 0.1%
359 9
< 0.1%

Ambient Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct30
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean12.519614
Minimum3
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:06.683115image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6
Q18
median11
Q315
95-th percentile24
Maximum32
Range29
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.3971853
Coefficient of variation (CV)0.43109839
Kurtosis0.8295309
Mean12.519614
Median Absolute Deviation (MAD)3
Skewness1.0330479
Sum328089
Variance29.12961
MonotonicityNot monotonic
2025-05-15T14:10:06.746045image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
9 2717
 
10.4%
8 2663
 
10.2%
7 2277
 
8.7%
10 2059
 
7.9%
12 1783
 
6.8%
14 1761
 
6.7%
11 1719
 
6.6%
16 1577
 
6.0%
15 1516
 
5.8%
13 1315
 
5.0%
Other values (20) 6819
26.0%
ValueCountFrequency (%)
3 28
 
0.1%
4 206
 
0.8%
5 555
 
2.1%
6 1077
 
4.1%
7 2277
8.7%
8 2663
10.2%
9 2717
10.4%
10 2059
7.9%
11 1719
6.6%
12 1783
6.8%
ValueCountFrequency (%)
32 6
 
< 0.1%
31 36
 
0.1%
30 134
0.5%
29 150
0.6%
28 191
0.7%
27 218
0.8%
26 159
0.6%
25 300
1.1%
24 161
0.6%
23 236
0.9%
Distinct1
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26206 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78618
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26206
> 99.9%
(Missing) 2
 
< 0.1%

Length

2025-05-15T14:10:06.808534image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:10:06.843851image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26206
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Grid InverterPhase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct32
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean36.887392
Minimum29
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:06.884819image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile30
Q133
median36
Q340
95-th percentile49
Maximum60
Range31
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.6504646
Coefficient of variation (CV)0.15318146
Kurtosis0.56108637
Mean36.887392
Median Absolute Deviation (MAD)4
Skewness0.97199042
Sum966671
Variance31.92775
MonotonicityNot monotonic
2025-05-15T14:10:06.951183image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
34 2418
 
9.2%
35 2245
 
8.6%
32 2056
 
7.8%
31 2051
 
7.8%
33 1992
 
7.6%
39 1776
 
6.8%
40 1650
 
6.3%
36 1618
 
6.2%
30 1589
 
6.1%
38 1385
 
5.3%
Other values (22) 7426
28.3%
ValueCountFrequency (%)
29 708
 
2.7%
30 1589
6.1%
31 2051
7.8%
32 2056
7.8%
33 1992
7.6%
34 2418
9.2%
35 2245
8.6%
36 1618
6.2%
37 1146
4.4%
38 1385
5.3%
ValueCountFrequency (%)
60 8
 
< 0.1%
59 5
 
< 0.1%
58 12
 
< 0.1%
57 23
 
0.1%
56 38
 
0.1%
55 37
 
0.1%
54 30
 
0.1%
53 49
 
0.2%
52 207
0.8%
51 359
1.4%

Grid RotorInvPhase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct35
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean38.14489
Minimum29
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:07.016864image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile31
Q133
median36
Q342
95-th percentile52
Maximum63
Range34
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.3761231
Coefficient of variation (CV)0.16715536
Kurtosis0.38392403
Mean38.14489
Median Absolute Deviation (MAD)4
Skewness1.0153782
Sum999625
Variance40.654946
MonotonicityNot monotonic
2025-05-15T14:10:07.087426image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
33 2875
 
11.0%
34 2820
 
10.8%
32 2312
 
8.8%
35 2265
 
8.6%
31 1531
 
5.8%
36 1442
 
5.5%
41 1438
 
5.5%
42 1333
 
5.1%
40 1211
 
4.6%
43 945
 
3.6%
Other values (25) 8034
30.7%
ValueCountFrequency (%)
29 193
 
0.7%
30 442
 
1.7%
31 1531
5.8%
32 2312
8.8%
33 2875
11.0%
34 2820
10.8%
35 2265
8.6%
36 1442
5.5%
37 939
 
3.6%
38 877
 
3.3%
ValueCountFrequency (%)
63 7
 
< 0.1%
62 8
 
< 0.1%
61 9
 
< 0.1%
60 35
 
0.1%
59 31
 
0.1%
58 36
 
0.1%
57 20
 
0.1%
56 46
 
0.2%
55 195
0.7%
54 331
1.3%

Grid RotorInvPhase2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct27
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean34.335076
Minimum29
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:07.154457image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile29
Q130
median32
Q337
95-th percentile44
Maximum55
Range26
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.833447
Coefficient of variation (CV)0.14077286
Kurtosis0.38420453
Mean34.335076
Median Absolute Deviation (MAD)3
Skewness0.99632327
Sum899785
Variance23.362209
MonotonicityNot monotonic
2025-05-15T14:10:07.215207image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
31 4224
16.1%
30 4036
15.4%
29 2717
10.4%
32 2257
8.6%
37 1956
7.5%
38 1879
7.2%
36 1561
 
6.0%
33 1084
 
4.1%
39 1070
 
4.1%
35 1024
 
3.9%
Other values (17) 4398
16.8%
ValueCountFrequency (%)
29 2717
10.4%
30 4036
15.4%
31 4224
16.1%
32 2257
8.6%
33 1084
 
4.1%
34 866
 
3.3%
35 1024
 
3.9%
36 1561
 
6.0%
37 1956
7.5%
38 1879
7.2%
ValueCountFrequency (%)
55 5
 
< 0.1%
54 8
 
< 0.1%
53 5
 
< 0.1%
52 29
 
0.1%
51 48
 
0.2%
50 54
 
0.2%
49 44
 
0.2%
48 40
 
0.2%
47 190
0.7%
46 387
1.5%

Grid RotorInvPhase3 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct32
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean36.664962
Minimum29
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:07.277293image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile30
Q132
median34
Q340
95-th percentile49
Maximum60
Range31
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.7877697
Coefficient of variation (CV)0.1578556
Kurtosis0.29727355
Mean36.664962
Median Absolute Deviation (MAD)3
Skewness0.9980573
Sum960842
Variance33.498278
MonotonicityNot monotonic
2025-05-15T14:10:07.340918image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
32 3869
14.8%
33 3240
12.4%
31 2466
 
9.4%
34 1901
 
7.3%
40 1471
 
5.6%
39 1341
 
5.1%
30 1308
 
5.0%
41 1280
 
4.9%
38 1113
 
4.2%
35 1107
 
4.2%
Other values (22) 7110
27.1%
ValueCountFrequency (%)
29 360
 
1.4%
30 1308
 
5.0%
31 2466
9.4%
32 3869
14.8%
33 3240
12.4%
34 1901
7.3%
35 1107
 
4.2%
36 844
 
3.2%
37 1022
 
3.9%
38 1113
 
4.2%
ValueCountFrequency (%)
60 3
 
< 0.1%
59 9
 
< 0.1%
58 4
 
< 0.1%
57 26
 
0.1%
56 39
 
0.1%
55 37
 
0.1%
54 31
 
0.1%
53 35
 
0.1%
52 163
0.6%
51 347
1.3%

Grid Production Power Avg. [W]
Real number (ℝ)

High correlation 

Distinct12282
Distinct (%)46.9%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean708.57506
Minimum-28.3
Maximum3001.2
Zeros10
Zeros (%)< 0.1%
Negative4919
Negative (%)18.8%
Memory size1.4 MiB
2025-05-15T14:10:07.413726image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-28.3
5-th percentile-12.1
Q154.325
median295.55
Q31056.725
95-th percentile2866.6
Maximum3001.2
Range3029.5
Interquartile range (IQR)1002.4

Descriptive statistics

Standard deviation895.76249
Coefficient of variation (CV)1.2641745
Kurtosis0.56729422
Mean708.57506
Median Absolute Deviation (MAD)306.15
Skewness1.3461052
Sum18568918
Variance802390.44
MonotonicityNot monotonic
2025-05-15T14:10:07.492754image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-11.1 244
 
0.9%
-11.2 233
 
0.9%
-11.3 231
 
0.9%
-11 208
 
0.8%
-11.4 202
 
0.8%
-11.6 199
 
0.8%
-11.7 174
 
0.7%
-11.5 174
 
0.7%
-10.9 173
 
0.7%
-11.8 165
 
0.6%
Other values (12272) 24203
92.3%
ValueCountFrequency (%)
-28.3 1
< 0.1%
-25.5 1
< 0.1%
-23 2
< 0.1%
-22.1 1
< 0.1%
-22 1
< 0.1%
-19.4 1
< 0.1%
-18.8 1
< 0.1%
-18.6 1
< 0.1%
-18.2 2
< 0.1%
-18 1
< 0.1%
ValueCountFrequency (%)
3001.2 1
 
< 0.1%
3001.1 1
 
< 0.1%
3000.6 5
 
< 0.1%
3000.5 10
 
< 0.1%
3000.4 44
0.2%
3000.3 61
0.2%
3000.2 29
0.1%
3000.1 24
 
0.1%
3000 12
 
< 0.1%
2999.9 11
 
< 0.1%

Grid Production CosPhi Avg.
Real number (ℝ)

High correlation 

Distinct11
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.8970274
Minimum0
Maximum1
Zeros82
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:07.555817image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6
Q10.9
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.1935852
Coefficient of variation (CV)0.21580746
Kurtosis3.5444643
Mean0.8970274
Median Absolute Deviation (MAD)0
Skewness-1.9543461
Sum23507.5
Variance0.037475231
MonotonicityNot monotonic
2025-05-15T14:10:07.755208image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 18994
72.5%
0.6 3365
 
12.8%
0.7 1296
 
4.9%
0.9 1040
 
4.0%
0.8 422
 
1.6%
0.3 244
 
0.9%
0.4 235
 
0.9%
0.5 192
 
0.7%
0.2 169
 
0.6%
0.1 167
 
0.6%
ValueCountFrequency (%)
0 82
 
0.3%
0.1 167
 
0.6%
0.2 169
 
0.6%
0.3 244
 
0.9%
0.4 235
 
0.9%
0.5 192
 
0.7%
0.6 3365
12.8%
0.7 1296
 
4.9%
0.8 422
 
1.6%
0.9 1040
 
4.0%
ValueCountFrequency (%)
1 18994
72.5%
0.9 1040
 
4.0%
0.8 422
 
1.6%
0.7 1296
 
4.9%
0.6 3365
 
12.8%
0.5 192
 
0.7%
0.4 235
 
0.9%
0.3 244
 
0.9%
0.2 169
 
0.6%
0.1 167
 
0.6%

Grid Production Frequency Avg. [Hz]
Categorical

High correlation  Imbalance 

Distinct3
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Memory size2.5 MiB
50.0
26078 
49.9
 
123
50.1
 
5

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters104824
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50.0
2nd row50.0
3rd row50.0
4th row50.0
5th row50.0

Common Values

ValueCountFrequency (%)
50.0 26078
99.5%
49.9 123
 
0.5%
50.1 5
 
< 0.1%
(Missing) 2
 
< 0.1%

Length

2025-05-15T14:10:07.814823image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:10:07.853242image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
50.0 26078
99.5%
49.9 123
 
0.5%
50.1 5
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 52161
49.8%
. 26206
25.0%
5 26083
24.9%
9 246
 
0.2%
4 123
 
0.1%
1 5
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 104824
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52161
49.8%
. 26206
25.0%
5 26083
24.9%
9 246
 
0.2%
4 123
 
0.1%
1 5
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 104824
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52161
49.8%
. 26206
25.0%
5 26083
24.9%
9 246
 
0.2%
4 123
 
0.1%
1 5
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 104824
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52161
49.8%
. 26206
25.0%
5 26083
24.9%
9 246
 
0.2%
4 123
 
0.1%
1 5
 
< 0.1%

Grid Production VoltagePhase1 Avg. [V]
Real number (ℝ)

High correlation  Skewed 

Distinct418
Distinct (%)1.6%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean578.45602
Minimum0
Maximum606.9
Zeros5
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:07.910009image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile568.7
Q1574.1
median578.4
Q3582.5
95-th percentile589.3
Maximum606.9
Range606.9
Interquartile range (IQR)8.4

Descriptive statistics

Standard deviation10.244765
Coefficient of variation (CV)0.017710534
Kurtosis1938.8307
Mean578.45602
Median Absolute Deviation (MAD)4.2
Skewness-34.339082
Sum15159018
Variance104.95521
MonotonicityNot monotonic
2025-05-15T14:10:07.991540image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
578.5 203
 
0.8%
579.6 200
 
0.8%
579.9 199
 
0.8%
580.9 184
 
0.7%
580.4 183
 
0.7%
579.1 181
 
0.7%
577.9 180
 
0.7%
578.7 178
 
0.7%
576.6 178
 
0.7%
580.2 176
 
0.7%
Other values (408) 24344
92.9%
ValueCountFrequency (%)
0 5
< 0.1%
434.1 1
 
< 0.1%
563 1
 
< 0.1%
563.1 1
 
< 0.1%
563.3 4
< 0.1%
563.4 1
 
< 0.1%
563.6 4
< 0.1%
563.7 3
< 0.1%
563.8 3
< 0.1%
563.9 2
 
< 0.1%
ValueCountFrequency (%)
606.9 1
< 0.1%
606.6 1
< 0.1%
606.5 1
< 0.1%
606.3 2
< 0.1%
606.1 1
< 0.1%
605.9 1
< 0.1%
605.8 2
< 0.1%
605.7 1
< 0.1%
605.6 1
< 0.1%
605.5 1
< 0.1%

Grid Production VoltagePhase2 Avg. [V]
Real number (ℝ)

High correlation  Skewed 

Distinct423
Distinct (%)1.6%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean577.37611
Minimum0
Maximum605.2
Zeros5
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:08.073068image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile568
Q1573.1
median577.3
Q3581.4
95-th percentile587.8
Maximum605.2
Range605.2
Interquartile range (IQR)8.3

Descriptive statistics

Standard deviation10.108948
Coefficient of variation (CV)0.017508427
Kurtosis2029.9818
Mean577.37611
Median Absolute Deviation (MAD)4.2
Skewness-35.54392
Sum15130718
Variance102.19082
MonotonicityNot monotonic
2025-05-15T14:10:08.152420image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
577.5 207
 
0.8%
578.9 198
 
0.8%
579.1 184
 
0.7%
578.8 183
 
0.7%
579.3 181
 
0.7%
579 179
 
0.7%
580.2 178
 
0.7%
573.9 178
 
0.7%
576.1 177
 
0.7%
577.4 177
 
0.7%
Other values (413) 24364
93.0%
ValueCountFrequency (%)
0 5
< 0.1%
433.9 1
 
< 0.1%
561 1
 
< 0.1%
561.3 1
 
< 0.1%
561.4 1
 
< 0.1%
561.5 1
 
< 0.1%
561.6 1
 
< 0.1%
561.7 1
 
< 0.1%
561.8 1
 
< 0.1%
562 2
 
< 0.1%
ValueCountFrequency (%)
605.2 1
 
< 0.1%
604.8 2
< 0.1%
604.4 1
 
< 0.1%
604.2 3
< 0.1%
604.1 3
< 0.1%
604 1
 
< 0.1%
603.8 1
 
< 0.1%
603.7 2
< 0.1%
603.4 1
 
< 0.1%
603.3 1
 
< 0.1%

Grid Production VoltagePhase3 Avg. [V]
Real number (ℝ)

High correlation  Skewed 

Distinct441
Distinct (%)1.7%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean575.42765
Minimum0
Maximum605.7
Zeros5
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:08.232845image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile565.1
Q1570.7
median575.3
Q3579.8
95-th percentile587
Maximum605.7
Range605.7
Interquartile range (IQR)9.1

Descriptive statistics

Standard deviation10.477287
Coefficient of variation (CV)0.018207827
Kurtosis1735.2859
Mean575.42765
Median Absolute Deviation (MAD)4.5
Skewness-31.580726
Sum15079657
Variance109.77355
MonotonicityNot monotonic
2025-05-15T14:10:08.312355image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
575 176
 
0.7%
574.9 172
 
0.7%
577.5 172
 
0.7%
576.3 171
 
0.7%
574.1 169
 
0.6%
574.4 169
 
0.6%
577.8 168
 
0.6%
575.4 168
 
0.6%
575.2 165
 
0.6%
572.7 164
 
0.6%
Other values (431) 24512
93.5%
ValueCountFrequency (%)
0 5
< 0.1%
433.1 1
 
< 0.1%
557.1 1
 
< 0.1%
557.2 1
 
< 0.1%
558 1
 
< 0.1%
558.2 1
 
< 0.1%
558.6 1
 
< 0.1%
558.7 1
 
< 0.1%
558.9 1
 
< 0.1%
559.1 1
 
< 0.1%
ValueCountFrequency (%)
605.7 1
< 0.1%
605.2 2
< 0.1%
604.6 2
< 0.1%
604 1
< 0.1%
603.8 1
< 0.1%
603.7 1
< 0.1%
603.6 1
< 0.1%
603.5 2
< 0.1%
603.4 1
< 0.1%
603.1 1
< 0.1%

Grid Production CurrentPhase1 Avg. [A]
Real number (ℝ)

High correlation 

Distinct9438
Distinct (%)36.0%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean400.90893
Minimum0
Maximum1729.6
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:08.390408image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.6
Q131.9
median165.2
Q3583.6
95-th percentile1620.1
Maximum1729.6
Range1729.6
Interquartile range (IQR)551.7

Descriptive statistics

Standard deviation502.9132
Coefficient of variation (CV)1.2544325
Kurtosis0.64928993
Mean400.90893
Median Absolute Deviation (MAD)153
Skewness1.3798354
Sum10506219
Variance252921.69
MonotonicityNot monotonic
2025-05-15T14:10:08.470952image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.7 678
 
2.6%
10.6 490
 
1.9%
10.8 327
 
1.2%
9.7 217
 
0.8%
1 166
 
0.6%
9.6 150
 
0.6%
11.7 130
 
0.5%
11.6 122
 
0.5%
10.9 111
 
0.4%
12.6 95
 
0.4%
Other values (9428) 23720
90.5%
ValueCountFrequency (%)
0 4
 
< 0.1%
0.3 1
 
< 0.1%
0.9 1
 
< 0.1%
1 166
0.6%
1.1 6
 
< 0.1%
1.2 5
 
< 0.1%
1.3 5
 
< 0.1%
1.4 4
 
< 0.1%
1.5 4
 
< 0.1%
1.6 3
 
< 0.1%
ValueCountFrequency (%)
1729.6 1
< 0.1%
1729.2 1
< 0.1%
1725.5 1
< 0.1%
1725.3 1
< 0.1%
1725.1 1
< 0.1%
1725 1
< 0.1%
1724.5 2
< 0.1%
1723.9 1
< 0.1%
1723.5 1
< 0.1%
1723.1 1
< 0.1%

Grid Production CurrentPhase2 Avg. [A]
Real number (ℝ)

High correlation 

Distinct9621
Distinct (%)36.7%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean413.99338
Minimum2
Maximum1777.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:08.548424image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile10.6
Q134.025
median170
Q3612.975
95-th percentile1656.15
Maximum1777.1
Range1775.1
Interquartile range (IQR)578.95

Descriptive statistics

Standard deviation515.76068
Coefficient of variation (CV)1.2458187
Kurtosis0.58353497
Mean413.99338
Median Absolute Deviation (MAD)158.25
Skewness1.3572832
Sum10849110
Variance266009.08
MonotonicityNot monotonic
2025-05-15T14:10:08.628571image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.6 728
 
2.8%
10.7 619
 
2.4%
2 216
 
0.8%
9.6 207
 
0.8%
10.8 206
 
0.8%
9.7 181
 
0.7%
11.7 167
 
0.6%
11.6 145
 
0.6%
10.5 135
 
0.5%
10.9 109
 
0.4%
Other values (9611) 23493
89.6%
ValueCountFrequency (%)
2 216
0.8%
2.1 7
 
< 0.1%
2.2 2
 
< 0.1%
2.3 4
 
< 0.1%
2.4 8
 
< 0.1%
2.5 1
 
< 0.1%
2.7 3
 
< 0.1%
2.8 1
 
< 0.1%
2.9 2
 
< 0.1%
3 1
 
< 0.1%
ValueCountFrequency (%)
1777.1 1
< 0.1%
1771.9 1
< 0.1%
1771.4 1
< 0.1%
1770.7 1
< 0.1%
1768.7 1
< 0.1%
1768.1 1
< 0.1%
1766.9 1
< 0.1%
1766.6 1
< 0.1%
1766.1 1
< 0.1%
1765.9 1
< 0.1%

Grid Production CurrentPhase3 Avg. [A]
Real number (ℝ)

High correlation 

Distinct9745
Distinct (%)37.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean417.71195
Minimum0
Maximum1774.6
Zeros104
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:08.704597image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.6
Q139.8
median176.4
Q3614.675
95-th percentile1660.675
Maximum1774.6
Range1774.6
Interquartile range (IQR)574.875

Descriptive statistics

Standard deviation515.57768
Coefficient of variation (CV)1.23429
Kurtosis0.58676545
Mean417.71195
Median Absolute Deviation (MAD)165.1
Skewness1.3551776
Sum10946559
Variance265820.35
MonotonicityNot monotonic
2025-05-15T14:10:08.785042image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.6 783
 
3.0%
9.7 570
 
2.2%
9.8 182
 
0.7%
9.5 180
 
0.7%
10.6 174
 
0.7%
8.7 142
 
0.5%
8.6 127
 
0.5%
9.9 125
 
0.5%
11.6 124
 
0.5%
10.7 108
 
0.4%
Other values (9735) 23691
90.4%
ValueCountFrequency (%)
0 104
0.4%
0.1 18
 
0.1%
0.2 7
 
< 0.1%
0.3 8
 
< 0.1%
0.4 8
 
< 0.1%
0.5 5
 
< 0.1%
0.6 8
 
< 0.1%
0.7 4
 
< 0.1%
0.8 5
 
< 0.1%
0.9 7
 
< 0.1%
ValueCountFrequency (%)
1774.6 1
< 0.1%
1771 1
< 0.1%
1769.8 1
< 0.1%
1769.1 1
< 0.1%
1768.9 1
< 0.1%
1768.3 1
< 0.1%
1768 2
< 0.1%
1767.6 1
< 0.1%
1767.3 1
< 0.1%
1767.1 1
< 0.1%

Grid Production Power Max. [W]
Real number (ℝ)

High correlation 

Distinct12870
Distinct (%)49.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean971.193
Minimum-23
Maximum3249.3
Zeros7
Zeros (%)< 0.1%
Negative4433
Negative (%)16.9%
Memory size1.4 MiB
2025-05-15T14:10:08.865567image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-23
5-th percentile-10.3
Q1159
median515.3
Q31554.75
95-th percentile3152.975
Maximum3249.3
Range3272.3
Interquartile range (IQR)1395.75

Descriptive statistics

Standard deviation1056.4484
Coefficient of variation (CV)1.0877842
Kurtosis-0.38988527
Mean971.193
Median Absolute Deviation (MAD)520
Skewness1.0033364
Sum25451084
Variance1116083.2
MonotonicityNot monotonic
2025-05-15T14:10:08.941908image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-9.5 271
 
1.0%
-9.6 253
 
1.0%
-9.7 226
 
0.9%
-9.4 221
 
0.8%
-10 204
 
0.8%
-9.8 195
 
0.7%
-9.3 188
 
0.7%
-9.9 182
 
0.7%
-10.2 162
 
0.6%
-10.3 160
 
0.6%
Other values (12860) 24144
92.1%
ValueCountFrequency (%)
-23 1
 
< 0.1%
-21.3 2
 
< 0.1%
-21.1 1
 
< 0.1%
-20.9 1
 
< 0.1%
-18.5 1
 
< 0.1%
-17.9 1
 
< 0.1%
-16.3 4
 
< 0.1%
-16.2 4
 
< 0.1%
-16.1 8
< 0.1%
-16 14
0.1%
ValueCountFrequency (%)
3249.3 1
< 0.1%
3198.7 1
< 0.1%
3183.4 1
< 0.1%
3182.4 1
< 0.1%
3180 1
< 0.1%
3178.5 1
< 0.1%
3177.6 1
< 0.1%
3177 2
< 0.1%
3176.4 1
< 0.1%
3176.1 1
< 0.1%

Grid Production Power Min. [W]
Real number (ℝ)

High correlation 

Distinct10537
Distinct (%)40.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean413.10619
Minimum-103.7
Maximum2994.7
Zeros17
Zeros (%)0.1%
Negative8416
Negative (%)32.1%
Memory size1.4 MiB
2025-05-15T14:10:09.017341image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-103.7
5-th percentile-41
Q1-25.2
median112.4
Q3515.15
95-th percentile1994.55
Maximum2994.7
Range3098.4
Interquartile range (IQR)540.35

Descriptive statistics

Standard deviation667.40278
Coefficient of variation (CV)1.615572
Kurtosis2.6403056
Mean413.10619
Median Absolute Deviation (MAD)147.4
Skewness1.8445511
Sum10825861
Variance445426.47
MonotonicityNot monotonic
2025-05-15T14:10:09.094830image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-100.1 178
 
0.7%
-35.5 148
 
0.6%
-35.4 143
 
0.5%
-35.7 142
 
0.5%
-35.6 120
 
0.5%
-35.1 119
 
0.5%
-100 115
 
0.4%
-35.3 112
 
0.4%
-35.9 103
 
0.4%
-35.8 101
 
0.4%
Other values (10527) 24925
95.1%
ValueCountFrequency (%)
-103.7 1
 
< 0.1%
-103.4 1
 
< 0.1%
-103.3 1
 
< 0.1%
-103 4
< 0.1%
-102.9 1
 
< 0.1%
-102.8 2
 
< 0.1%
-102.7 2
 
< 0.1%
-102.5 3
< 0.1%
-102.4 1
 
< 0.1%
-102.3 5
< 0.1%
ValueCountFrequency (%)
2994.7 1
 
< 0.1%
2994.3 1
 
< 0.1%
2994 1
 
< 0.1%
2993.7 1
 
< 0.1%
2993.1 2
< 0.1%
2992.4 1
 
< 0.1%
2991.8 1
 
< 0.1%
2991.6 3
< 0.1%
2991.4 1
 
< 0.1%
2991.3 2
< 0.1%

Grid Busbar Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct35
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean31.967717
Minimum17
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:09.311892image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile27
Q128
median30
Q336
95-th percentile41
Maximum51
Range34
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.9832411
Coefficient of variation (CV)0.15588354
Kurtosis-0.49566497
Mean31.967717
Median Absolute Deviation (MAD)3
Skewness0.66485996
Sum837746
Variance24.832692
MonotonicityNot monotonic
2025-05-15T14:10:09.377513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
28 3883
14.8%
27 3638
13.9%
29 3057
11.7%
30 1946
 
7.4%
40 1364
 
5.2%
32 1335
 
5.1%
39 1311
 
5.0%
31 1172
 
4.5%
38 1163
 
4.4%
26 1037
 
4.0%
Other values (25) 6300
24.0%
ValueCountFrequency (%)
17 16
 
0.1%
18 21
 
0.1%
19 14
 
0.1%
20 9
 
< 0.1%
21 9
 
< 0.1%
22 21
 
0.1%
23 15
 
0.1%
24 20
 
0.1%
25 118
 
0.5%
26 1037
4.0%
ValueCountFrequency (%)
51 3
 
< 0.1%
50 24
 
0.1%
49 27
 
0.1%
48 29
 
0.1%
47 22
 
0.1%
46 25
 
0.1%
45 38
 
0.1%
44 33
 
0.1%
43 45
 
0.2%
42 432
1.6%

Grid Production Power StdDev [W]
Real number (ℝ)

High correlation 

Distinct4377
Distinct (%)16.7%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean113.05136
Minimum0
Maximum1482.3
Zeros237
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:09.450518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.8
Q122.2
median66.95
Q3170.8
95-th percentile355.9
Maximum1482.3
Range1482.3
Interquartile range (IQR)148.6

Descriptive statistics

Standard deviation127.04971
Coefficient of variation (CV)1.1238229
Kurtosis12.725052
Mean113.05136
Median Absolute Deviation (MAD)61.25
Skewness2.4169369
Sum2962623.9
Variance16141.628
MonotonicityNot monotonic
2025-05-15T14:10:09.528370image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.4 625
 
2.4%
4.3 545
 
2.1%
4.5 531
 
2.0%
4.2 385
 
1.5%
4.6 324
 
1.2%
0 237
 
0.9%
4.1 221
 
0.8%
4.7 161
 
0.6%
3.3 144
 
0.5%
3.4 122
 
0.5%
Other values (4367) 22911
87.4%
ValueCountFrequency (%)
0 237
0.9%
0.1 22
 
0.1%
0.2 7
 
< 0.1%
0.3 9
 
< 0.1%
0.4 5
 
< 0.1%
0.5 2
 
< 0.1%
0.6 3
 
< 0.1%
0.7 4
 
< 0.1%
0.8 5
 
< 0.1%
0.9 15
 
0.1%
ValueCountFrequency (%)
1482.3 1
< 0.1%
1470 1
< 0.1%
1467.1 1
< 0.1%
1460 2
< 0.1%
1458.8 1
< 0.1%
1452.5 1
< 0.1%
1448.3 1
< 0.1%
1447.3 1
< 0.1%
1421.6 1
< 0.1%
1420.2 1
< 0.1%

Grid Production ReactivePower Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct206
Distinct (%)0.8%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-2.6604404
Minimum-23.6
Maximum0
Zeros19055
Zeros (%)72.7%
Negative7151
Negative (%)27.3%
Memory size1.4 MiB
2025-05-15T14:10:09.605980image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-23.6
5-th percentile-14.1
Q1-0.4
median0
Q30
95-th percentile0
Maximum0
Range23.6
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation5.2248924
Coefficient of variation (CV)-1.9639201
Kurtosis0.83921639
Mean-2.6604404
Median Absolute Deviation (MAD)0
Skewness-1.617822
Sum-69719.5
Variance27.299501
MonotonicityNot monotonic
2025-05-15T14:10:09.682029image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19055
72.7%
-0.4 286
 
1.1%
-13.2 217
 
0.8%
-13 208
 
0.8%
-13.1 188
 
0.7%
-12.9 183
 
0.7%
-12.8 170
 
0.6%
-13.3 168
 
0.6%
-0.5 165
 
0.6%
-12.7 159
 
0.6%
Other values (196) 5407
 
20.6%
ValueCountFrequency (%)
-23.6 1
< 0.1%
-22.8 1
< 0.1%
-21.1 2
< 0.1%
-20.9 2
< 0.1%
-20.8 1
< 0.1%
-20.4 2
< 0.1%
-20.3 1
< 0.1%
-20.1 1
< 0.1%
-20 1
< 0.1%
-19.9 1
< 0.1%
ValueCountFrequency (%)
0 19055
72.7%
-0.1 158
 
0.6%
-0.2 54
 
0.2%
-0.3 149
 
0.6%
-0.4 286
 
1.1%
-0.5 165
 
0.6%
-0.6 81
 
0.3%
-0.7 38
 
0.1%
-0.8 45
 
0.2%
-0.9 52
 
0.2%

Grid Production ReactivePower Max. [W]
Real number (ℝ)

High correlation 

Distinct169
Distinct (%)0.6%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-1.4551782
Minimum-23.3
Maximum11.8
Zeros167
Zeros (%)0.6%
Negative4331
Negative (%)16.5%
Memory size1.4 MiB
2025-05-15T14:10:09.757034image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-23.3
5-th percentile-13.2
Q10.2
median0.6
Q30.8
95-th percentile1.2
Maximum11.8
Range35.1
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation4.9969354
Coefficient of variation (CV)-3.4338993
Kurtosis1.84492
Mean-1.4551782
Median Absolute Deviation (MAD)0.3
Skewness-1.9043297
Sum-38134.4
Variance24.969364
MonotonicityNot monotonic
2025-05-15T14:10:09.838031image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6 3989
15.2%
0.3 2664
 
10.2%
0.7 2158
 
8.2%
0.5 2142
 
8.2%
0.4 1550
 
5.9%
0.2 1482
 
5.7%
0.8 1437
 
5.5%
1 1416
 
5.4%
0.9 1391
 
5.3%
1.1 957
 
3.7%
Other values (159) 7020
26.8%
ValueCountFrequency (%)
-23.3 1
< 0.1%
-20.9 1
< 0.1%
-20.5 1
< 0.1%
-19.8 1
< 0.1%
-19.6 2
< 0.1%
-18.8 1
< 0.1%
-18.6 1
< 0.1%
-18.5 2
< 0.1%
-18.4 2
< 0.1%
-18.3 2
< 0.1%
ValueCountFrequency (%)
11.8 1
< 0.1%
11.3 1
< 0.1%
9.6 1
< 0.1%
8.6 1
< 0.1%
8.3 1
< 0.1%
7.8 1
< 0.1%
7 2
< 0.1%
6.5 1
< 0.1%
6.4 1
< 0.1%
6.1 2
< 0.1%

Grid Production ReactivePower Min. [W]
Real number (ℝ)

High correlation 

Distinct422
Distinct (%)1.6%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-6.6624246
Minimum-62.9
Maximum0
Zeros18
Zeros (%)0.1%
Negative26188
Negative (%)99.9%
Memory size1.4 MiB
2025-05-15T14:10:09.917445image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-62.9
5-th percentile-27
Q1-16.9
median-0.9
Q3-0.6
95-th percentile-0.3
Maximum0
Range62.9
Interquartile range (IQR)16.3

Descriptive statistics

Standard deviation10.176958
Coefficient of variation (CV)-1.5275157
Kurtosis0.95261364
Mean-6.6624246
Median Absolute Deviation (MAD)0.4
Skewness-1.4340991
Sum-174595.5
Variance103.57048
MonotonicityNot monotonic
2025-05-15T14:10:09.998723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.7 2811
 
10.7%
-0.6 2793
 
10.7%
-0.8 2327
 
8.9%
-0.5 1948
 
7.4%
-0.9 1945
 
7.4%
-1 1312
 
5.0%
-1.1 988
 
3.8%
-0.4 856
 
3.3%
-1.2 853
 
3.3%
-0.2 591
 
2.3%
Other values (412) 9782
37.3%
ValueCountFrequency (%)
-62.9 1
< 0.1%
-60.7 1
< 0.1%
-59.2 1
< 0.1%
-57.3 1
< 0.1%
-57 1
< 0.1%
-54.9 1
< 0.1%
-54.8 1
< 0.1%
-54.7 1
< 0.1%
-54.6 1
< 0.1%
-54.2 1
< 0.1%
ValueCountFrequency (%)
0 18
 
0.1%
-0.1 229
 
0.9%
-0.2 591
 
2.3%
-0.3 480
 
1.8%
-0.4 856
 
3.3%
-0.5 1948
7.4%
-0.6 2793
10.7%
-0.7 2811
10.7%
-0.8 2327
8.9%
-0.9 1945
7.4%

Grid Production ReactivePower StdDev [W]
Real number (ℝ)

High correlation  Zeros 

Distinct114
Distinct (%)0.4%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.83635427
Minimum0
Maximum12
Zeros8861
Zeros (%)33.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:10.081539image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.1
Q30.6
95-th percentile5.7
Maximum12
Range12
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation1.8053931
Coefficient of variation (CV)2.1586463
Kurtosis7.8076564
Mean0.83635427
Median Absolute Deviation (MAD)0.1
Skewness2.8678281
Sum21917.5
Variance3.2594442
MonotonicityNot monotonic
2025-05-15T14:10:10.165174image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8861
33.8%
0.1 6251
23.9%
0.2 3760
14.3%
1.1 994
 
3.8%
1.2 656
 
2.5%
1 517
 
2.0%
0.3 517
 
2.0%
1.3 232
 
0.9%
0.6 214
 
0.8%
0.5 165
 
0.6%
Other values (104) 4039
15.4%
ValueCountFrequency (%)
0 8861
33.8%
0.1 6251
23.9%
0.2 3760
14.3%
0.3 517
 
2.0%
0.4 97
 
0.4%
0.5 165
 
0.6%
0.6 214
 
0.8%
0.7 93
 
0.4%
0.8 70
 
0.3%
0.9 104
 
0.4%
ValueCountFrequency (%)
12 1
 
< 0.1%
11.6 1
 
< 0.1%
11.5 1
 
< 0.1%
11.2 1
 
< 0.1%
11 2
< 0.1%
10.9 1
 
< 0.1%
10.8 4
< 0.1%
10.7 2
< 0.1%
10.6 1
 
< 0.1%
10.5 1
 
< 0.1%

Grid Production PossiblePower Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct2885
Distinct (%)11.0%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean737.69144
Minimum0
Maximum3001
Zeros3352
Zeros (%)12.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:10.243575image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q166
median308
Q31112
95-th percentile2916
Maximum3001
Range3001
Interquartile range (IQR)1046

Descriptive statistics

Standard deviation911.83959
Coefficient of variation (CV)1.2360718
Kurtosis0.42720152
Mean737.69144
Median Absolute Deviation (MAD)298
Skewness1.3097114
Sum19331942
Variance831451.44
MonotonicityNot monotonic
2025-05-15T14:10:10.322791image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3352
 
12.8%
3000 294
 
1.1%
25 162
 
0.6%
30 107
 
0.4%
52 96
 
0.4%
2999 94
 
0.4%
41 81
 
0.3%
32 80
 
0.3%
34 76
 
0.3%
24 70
 
0.3%
Other values (2875) 21794
83.2%
ValueCountFrequency (%)
0 3352
12.8%
1 48
 
0.2%
2 37
 
0.1%
3 41
 
0.2%
4 34
 
0.1%
5 35
 
0.1%
6 38
 
0.1%
7 34
 
0.1%
8 41
 
0.2%
9 40
 
0.2%
ValueCountFrequency (%)
3001 3
 
< 0.1%
3000 294
1.1%
2999 94
 
0.4%
2998 57
 
0.2%
2997 67
 
0.3%
2996 41
 
0.2%
2995 48
 
0.2%
2994 35
 
0.1%
2993 35
 
0.1%
2992 25
 
0.1%

Grid Production PossiblePower Max. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct3000
Distinct (%)11.4%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1004.3518
Minimum0
Maximum3150
Zeros3279
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:10.402324image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1173
median540
Q31635
95-th percentile3150
Maximum3150
Range3150
Interquartile range (IQR)1462

Descriptive statistics

Standard deviation1064.2027
Coefficient of variation (CV)1.0595916
Kurtosis-0.50346113
Mean1004.3518
Median Absolute Deviation (MAD)499
Skewness0.96288622
Sum26320042
Variance1132527.4
MonotonicityNot monotonic
2025-05-15T14:10:10.478650image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3279
 
12.5%
3150 2303
 
8.8%
3000 191
 
0.7%
25 120
 
0.5%
30 70
 
0.3%
52 66
 
0.3%
32 59
 
0.2%
41 50
 
0.2%
34 48
 
0.2%
40 40
 
0.2%
Other values (2990) 19980
76.2%
ValueCountFrequency (%)
0 3279
12.5%
2 2
 
< 0.1%
14 1
 
< 0.1%
22 3
 
< 0.1%
23 22
 
0.1%
24 26
 
0.1%
25 120
 
0.5%
26 12
 
< 0.1%
27 12
 
< 0.1%
28 30
 
0.1%
ValueCountFrequency (%)
3150 2303
8.8%
3149 1
 
< 0.1%
3148 1
 
< 0.1%
3147 1
 
< 0.1%
3146 2
 
< 0.1%
3145 15
 
0.1%
3144 1
 
< 0.1%
3142 3
 
< 0.1%
3141 2
 
< 0.1%
3140 10
 
< 0.1%

Grid Production PossiblePower Min. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct2684
Distinct (%)10.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean438.72724
Minimum-100
Maximum3000
Zeros3753
Zeros (%)14.3%
Negative3476
Negative (%)13.3%
Memory size1.4 MiB
2025-05-15T14:10:10.553861image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-100
5-th percentile-40
Q10
median129
Q3539
95-th percentile2034
Maximum3000
Range3100
Interquartile range (IQR)539

Descriptive statistics

Standard deviation683.07425
Coefficient of variation (CV)1.5569452
Kurtosis2.7155334
Mean438.72724
Median Absolute Deviation (MAD)130
Skewness1.8583372
Sum11497286
Variance466590.43
MonotonicityNot monotonic
2025-05-15T14:10:10.632928image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3753
 
14.3%
-100 693
 
2.6%
25 164
 
0.6%
3000 160
 
0.6%
30 114
 
0.4%
52 104
 
0.4%
34 86
 
0.3%
-17 83
 
0.3%
32 81
 
0.3%
-14 77
 
0.3%
Other values (2674) 20891
79.7%
ValueCountFrequency (%)
-100 693
2.6%
-99 9
 
< 0.1%
-98 4
 
< 0.1%
-97 4
 
< 0.1%
-96 7
 
< 0.1%
-95 5
 
< 0.1%
-94 3
 
< 0.1%
-93 4
 
< 0.1%
-92 2
 
< 0.1%
-91 1
 
< 0.1%
ValueCountFrequency (%)
3000 160
0.6%
2999 1
 
< 0.1%
2998 2
 
< 0.1%
2995 3
 
< 0.1%
2994 1
 
< 0.1%
2990 1
 
< 0.1%
2989 1
 
< 0.1%
2985 1
 
< 0.1%
2984 1
 
< 0.1%
2980 1
 
< 0.1%

Grid Production PossiblePower StdDev [W]
Real number (ℝ)

High correlation  Zeros 

Distinct659
Distinct (%)2.5%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean111.98802
Minimum0
Maximum1157
Zeros3979
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:10.859063image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q123
median68
Q3171
95-th percentile356
Maximum1157
Range1157
Interquartile range (IQR)148

Descriptive statistics

Standard deviation120.62623
Coefficient of variation (CV)1.0771352
Kurtosis3.061761
Mean111.98802
Median Absolute Deviation (MAD)59
Skewness1.5827109
Sum2934758
Variance14550.688
MonotonicityNot monotonic
2025-05-15T14:10:10.938775image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3979
 
15.2%
32 212
 
0.8%
33 205
 
0.8%
36 203
 
0.8%
31 193
 
0.7%
29 186
 
0.7%
43 177
 
0.7%
21 176
 
0.7%
24 175
 
0.7%
27 174
 
0.7%
Other values (649) 20526
78.3%
ValueCountFrequency (%)
0 3979
15.2%
1 48
 
0.2%
2 27
 
0.1%
3 29
 
0.1%
4 38
 
0.1%
5 46
 
0.2%
6 64
 
0.2%
7 78
 
0.3%
8 111
 
0.4%
9 97
 
0.4%
ValueCountFrequency (%)
1157 1
< 0.1%
1027 1
< 0.1%
982 1
< 0.1%
961 1
< 0.1%
958 1
< 0.1%
945 1
< 0.1%
870 1
< 0.1%
856 1
< 0.1%
818 1
< 0.1%
810 1
< 0.1%
Distinct1
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26206 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78618
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26206
> 99.9%
(Missing) 2
 
< 0.1%

Length

2025-05-15T14:10:11.009045image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:10:11.042614image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26206
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%
Distinct1
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26206 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78618
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26206
> 99.9%
(Missing) 2
 
< 0.1%

Length

2025-05-15T14:10:11.084069image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:10:11.117965image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26206
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%
Distinct1
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26206 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78618
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26206
> 99.9%
(Missing) 2
 
< 0.1%

Length

2025-05-15T14:10:11.157434image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:10:11.190983image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26206
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%
Distinct1
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26206 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78618
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26206
> 99.9%
(Missing) 2
 
< 0.1%

Length

2025-05-15T14:10:11.232410image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:10:11.266388image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26206
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%
Distinct1
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26206 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78618
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26206
> 99.9%
(Missing) 2
 
< 0.1%

Length

2025-05-15T14:10:11.307508image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:10:11.341944image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26206
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%
Distinct1
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26206 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78618
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26206
> 99.9%
(Missing) 2
 
< 0.1%

Length

2025-05-15T14:10:11.381363image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:10:11.414837image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26206
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%
Distinct1
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26206 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78618
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26206
> 99.9%
(Missing) 2
 
< 0.1%

Length

2025-05-15T14:10:11.456446image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:10:11.490558image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26206
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%
Distinct1
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26206 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78618
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26206
> 99.9%
(Missing) 2
 
< 0.1%

Length

2025-05-15T14:10:11.531793image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:10:11.565583image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26206
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Active power limit [W]
Real number (ℝ)

High correlation  Skewed 

Distinct13
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2997.6246
Minimum0
Maximum3000
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:11.597763image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3000
Q13000
median3000
Q33000
95-th percentile3000
Maximum3000
Range3000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation37.098023
Coefficient of variation (CV)0.012375807
Kurtosis3308.9546
Mean2997.6246
Median Absolute Deviation (MAD)0
Skewness-45.447501
Sum78555750
Variance1376.2633
MonotonicityNot monotonic
2025-05-15T14:10:11.650526image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3000 25944
99.0%
2910 96
 
0.4%
2550 38
 
0.1%
2865 29
 
0.1%
2595 23
 
0.1%
2955 20
 
0.1%
2640 11
 
< 0.1%
2685 11
 
< 0.1%
2730 10
 
< 0.1%
2775 9
 
< 0.1%
Other values (3) 15
 
0.1%
ValueCountFrequency (%)
0 2
 
< 0.1%
2505 6
 
< 0.1%
2550 38
0.1%
2595 23
0.1%
2640 11
 
< 0.1%
2685 11
 
< 0.1%
2730 10
 
< 0.1%
2775 9
 
< 0.1%
2820 7
 
< 0.1%
2865 29
0.1%
ValueCountFrequency (%)
3000 25944
99.0%
2955 20
 
0.1%
2910 96
 
0.4%
2865 29
 
0.1%
2820 7
 
< 0.1%
2775 9
 
< 0.1%
2730 10
 
< 0.1%
2685 11
 
< 0.1%
2640 11
 
< 0.1%
2595 23
 
0.1%

Active power limit source
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Memory size2.5 MiB
11.0
26205 
0.0
 
1

Length

Max length4
Median length4
Mean length3.9999618
Min length3

Characters and Unicode

Total characters104823
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row11.0
2nd row11.0
3rd row11.0
4th row11.0
5th row11.0

Common Values

ValueCountFrequency (%)
11.0 26205
> 99.9%
0.0 1
 
< 0.1%
(Missing) 2
 
< 0.1%

Length

2025-05-15T14:10:11.711386image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:10:11.748635image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
11.0 26205
> 99.9%
0.0 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
1 52410
50.0%
0 26207
25.0%
. 26206
25.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 104823
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 52410
50.0%
0 26207
25.0%
. 26206
25.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 104823
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 52410
50.0%
0 26207
25.0%
. 26206
25.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 104823
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 52410
50.0%
0 26207
25.0%
. 26206
25.0%

Reactive power set point [var]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26206 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78618
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26206
> 99.9%
(Missing) 2
 
< 0.1%

Length

2025-05-15T14:10:11.794063image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:10:11.827847image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26206
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52412
66.7%
. 26206
33.3%

Power factor set point
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Memory size2.5 MiB
1.0
26205 
0.0
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78618
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 26205
> 99.9%
0.0 1
 
< 0.1%
(Missing) 2
 
< 0.1%

Length

2025-05-15T14:10:11.867401image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:10:11.905297image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 26205
> 99.9%
0.0 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 26207
33.3%
. 26206
33.3%
1 26205
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 26207
33.3%
. 26206
33.3%
1 26205
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 26207
33.3%
. 26206
33.3%
1 26205
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78618
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 26207
33.3%
. 26206
33.3%
1 26205
33.3%

Power factor set point source
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Memory size2.5 MiB
11.0
26205 
0.0
 
1

Length

Max length4
Median length4
Mean length3.9999618
Min length3

Characters and Unicode

Total characters104823
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row11.0
2nd row11.0
3rd row11.0
4th row11.0
5th row11.0

Common Values

ValueCountFrequency (%)
11.0 26205
> 99.9%
0.0 1
 
< 0.1%
(Missing) 2
 
< 0.1%

Length

2025-05-15T14:10:11.950079image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:10:11.987534image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
11.0 26205
> 99.9%
0.0 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
1 52410
50.0%
0 26207
25.0%
. 26206
25.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 104823
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 52410
50.0%
0 26207
25.0%
. 26206
25.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 104823
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 52410
50.0%
0 26207
25.0%
. 26206
25.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 104823
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 52410
50.0%
0 26207
25.0%
. 26206
25.0%

Controller Ground Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct32
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean22.142486
Minimum11
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:12.032811image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile15
Q119
median22
Q325
95-th percentile31
Maximum42
Range31
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.891324
Coefficient of variation (CV)0.2209022
Kurtosis0.71062611
Mean22.142486
Median Absolute Deviation (MAD)3
Skewness0.63425229
Sum580266
Variance23.925051
MonotonicityNot monotonic
2025-05-15T14:10:12.099767image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
19 2649
 
10.1%
25 2604
 
9.9%
18 2100
 
8.0%
20 2093
 
8.0%
21 1869
 
7.1%
24 1844
 
7.0%
26 1685
 
6.4%
22 1614
 
6.2%
23 1469
 
5.6%
17 1320
 
5.0%
Other values (22) 6959
26.6%
ValueCountFrequency (%)
11 6
 
< 0.1%
12 230
 
0.9%
13 229
 
0.9%
14 510
 
1.9%
15 631
 
2.4%
16 1227
4.7%
17 1320
5.0%
18 2100
8.0%
19 2649
10.1%
20 2093
8.0%
ValueCountFrequency (%)
42 13
 
< 0.1%
41 29
 
0.1%
40 53
 
0.2%
39 42
 
0.2%
38 59
 
0.2%
37 77
 
0.3%
36 82
 
0.3%
35 134
0.5%
34 220
0.8%
33 191
0.7%

Controller Top Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct25
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean27.151149
Minimum21
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:12.162750image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile23
Q124
median26
Q329
95-th percentile35
Maximum45
Range24
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.9212254
Coefficient of variation (CV)0.14442208
Kurtosis1.1710763
Mean27.151149
Median Absolute Deviation (MAD)2
Skewness1.1682906
Sum711523
Variance15.376008
MonotonicityNot monotonic
2025-05-15T14:10:12.223945image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
25 4484
17.1%
24 4104
15.7%
23 2669
10.2%
26 2449
9.3%
27 2012
7.7%
28 1788
 
6.8%
30 1670
 
6.4%
29 1452
 
5.5%
32 976
 
3.7%
31 955
 
3.6%
Other values (15) 3647
13.9%
ValueCountFrequency (%)
21 130
 
0.5%
22 653
 
2.5%
23 2669
10.2%
24 4104
15.7%
25 4484
17.1%
26 2449
9.3%
27 2012
7.7%
28 1788
 
6.8%
29 1452
 
5.5%
30 1670
 
6.4%
ValueCountFrequency (%)
45 4
 
< 0.1%
44 8
 
< 0.1%
43 14
 
0.1%
42 43
 
0.2%
41 82
 
0.3%
40 123
0.5%
39 170
0.6%
38 192
0.7%
37 168
0.6%
36 212
0.8%

Controller Hub Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct33
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean21.256163
Minimum10
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:12.285049image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile14
Q117
median21
Q324
95-th percentile33
Maximum42
Range32
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.6505952
Coefficient of variation (CV)0.26583327
Kurtosis0.49621584
Mean21.256163
Median Absolute Deviation (MAD)4
Skewness0.79083246
Sum557039
Variance31.929226
MonotonicityNot monotonic
2025-05-15T14:10:12.350809image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
21 2030
 
7.7%
19 2019
 
7.7%
18 1947
 
7.4%
22 1909
 
7.3%
16 1848
 
7.1%
17 1786
 
6.8%
23 1634
 
6.2%
20 1546
 
5.9%
15 1545
 
5.9%
24 1355
 
5.2%
Other values (23) 8587
32.8%
ValueCountFrequency (%)
10 17
 
0.1%
11 95
 
0.4%
12 546
 
2.1%
13 473
 
1.8%
14 1086
4.1%
15 1545
5.9%
16 1848
7.1%
17 1786
6.8%
18 1947
7.4%
19 2019
7.7%
ValueCountFrequency (%)
42 25
 
0.1%
41 45
 
0.2%
40 63
 
0.2%
39 50
 
0.2%
38 93
 
0.4%
37 54
 
0.2%
36 148
0.6%
35 222
0.8%
34 310
1.2%
33 323
1.2%

Controller VCP Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct34
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean33.682286
Minimum21
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:12.414938image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile29
Q131
median33
Q335
95-th percentile43
Maximum54
Range33
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.0186681
Coefficient of variation (CV)0.11931102
Kurtosis1.6781002
Mean33.682286
Median Absolute Deviation (MAD)2
Skewness1.2557058
Sum882678
Variance16.149693
MonotonicityNot monotonic
2025-05-15T14:10:12.485975image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
34 3487
13.3%
30 3475
13.3%
32 3347
12.8%
31 3299
12.6%
33 3076
11.7%
35 2108
8.0%
29 1221
 
4.7%
39 897
 
3.4%
36 811
 
3.1%
37 692
 
2.6%
Other values (24) 3793
14.5%
ValueCountFrequency (%)
21 5
 
< 0.1%
22 16
 
0.1%
23 8
 
< 0.1%
24 7
 
< 0.1%
25 34
 
0.1%
26 25
 
0.1%
27 88
 
0.3%
28 451
 
1.7%
29 1221
 
4.7%
30 3475
13.3%
ValueCountFrequency (%)
54 3
 
< 0.1%
53 7
 
< 0.1%
52 4
 
< 0.1%
51 3
 
< 0.1%
50 11
 
< 0.1%
49 20
 
0.1%
48 44
 
0.2%
47 120
 
0.5%
46 84
 
0.3%
45 323
1.2%

Controller VCP ChokecoilTemp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct110
Distinct (%)0.4%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean72.801343
Minimum18
Maximum127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:12.565598image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile35
Q165
median76
Q381
95-th percentile107
Maximum127
Range109
Interquartile range (IQR)16

Descriptive statistics

Standard deviation19.40354
Coefficient of variation (CV)0.26652723
Kurtosis0.26393424
Mean72.801343
Median Absolute Deviation (MAD)7
Skewness-0.28268179
Sum1907832
Variance376.49738
MonotonicityNot monotonic
2025-05-15T14:10:12.643268image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76 1560
 
6.0%
77 1554
 
5.9%
78 1419
 
5.4%
75 1324
 
5.1%
79 1135
 
4.3%
74 1127
 
4.3%
73 816
 
3.1%
80 762
 
2.9%
81 701
 
2.7%
72 567
 
2.2%
Other values (100) 15241
58.2%
ValueCountFrequency (%)
18 17
0.1%
19 17
0.1%
20 12
< 0.1%
21 8
< 0.1%
22 9
< 0.1%
23 8
< 0.1%
24 12
< 0.1%
25 13
< 0.1%
26 12
< 0.1%
27 14
0.1%
ValueCountFrequency (%)
127 1
 
< 0.1%
126 14
 
0.1%
125 5
 
< 0.1%
124 14
 
0.1%
123 26
0.1%
122 8
 
< 0.1%
121 5
 
< 0.1%
120 7
 
< 0.1%
119 33
0.1%
118 40
0.2%

Controller VCP WaterTemp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct37
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean35.381058
Minimum20
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:12.713821image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile30
Q132
median34
Q338
95-th percentile45
Maximum56
Range36
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.622984
Coefficient of variation (CV)0.13066268
Kurtosis0.62613264
Mean35.381058
Median Absolute Deviation (MAD)3
Skewness0.89795089
Sum927196
Variance21.371981
MonotonicityNot monotonic
2025-05-15T14:10:12.928634image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
32 4607
17.6%
31 3583
13.7%
33 2912
11.1%
38 2801
10.7%
39 2114
8.1%
37 1773
 
6.8%
30 1372
 
5.2%
34 1123
 
4.3%
35 816
 
3.1%
36 806
 
3.1%
Other values (27) 4299
16.4%
ValueCountFrequency (%)
20 9
 
< 0.1%
21 7
 
< 0.1%
22 6
 
< 0.1%
23 5
 
< 0.1%
24 24
 
0.1%
25 27
 
0.1%
26 18
 
0.1%
27 32
 
0.1%
28 69
 
0.3%
29 201
0.8%
ValueCountFrequency (%)
56 10
 
< 0.1%
55 14
 
0.1%
54 8
 
< 0.1%
53 15
 
0.1%
52 51
 
0.2%
51 43
 
0.2%
50 63
 
0.2%
49 32
 
0.1%
48 41
 
0.2%
47 177
0.7%

Spinner Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct34
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean16.727124
Minimum5
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:12.993979image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile9
Q112
median16
Q320
95-th percentile28
Maximum38
Range33
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.7864551
Coefficient of variation (CV)0.34593247
Kurtosis0.4226213
Mean16.727124
Median Absolute Deviation (MAD)4
Skewness0.78225611
Sum438351
Variance33.483063
MonotonicityNot monotonic
2025-05-15T14:10:13.059361image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
12 2327
 
8.9%
13 1788
 
6.8%
18 1751
 
6.7%
17 1719
 
6.6%
11 1689
 
6.4%
14 1681
 
6.4%
15 1640
 
6.3%
19 1626
 
6.2%
16 1616
 
6.2%
10 1549
 
5.9%
Other values (24) 8820
33.7%
ValueCountFrequency (%)
5 1
 
< 0.1%
6 65
 
0.2%
7 389
 
1.5%
8 409
 
1.6%
9 781
 
3.0%
10 1549
5.9%
11 1689
6.4%
12 2327
8.9%
13 1788
6.8%
14 1681
6.4%
ValueCountFrequency (%)
38 14
 
0.1%
37 53
 
0.2%
36 55
 
0.2%
35 43
 
0.2%
34 104
 
0.4%
33 51
 
0.2%
32 135
0.5%
31 170
0.6%
30 285
1.1%
29 267
1.0%

Spinner Temp. SlipRing Avg. [°C]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Memory size2.6 MiB
999.0
26206 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters131030
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.0
2nd row999.0
3rd row999.0
4th row999.0
5th row999.0

Common Values

ValueCountFrequency (%)
999.0 26206
> 99.9%
(Missing) 2
 
< 0.1%

Length

2025-05-15T14:10:13.123948image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:10:13.157836image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
999.0 26206
100.0%

Most occurring characters

ValueCountFrequency (%)
9 78618
60.0%
. 26206
 
20.0%
0 26206
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 131030
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 78618
60.0%
. 26206
 
20.0%
0 26206
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 131030
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 78618
60.0%
. 26206
 
20.0%
0 26206
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 131030
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 78618
60.0%
. 26206
 
20.0%
0 26206
 
20.0%

Blades PitchAngle Min. [°]
Real number (ℝ)

High correlation  Zeros 

Distinct397
Distinct (%)1.5%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean7.7449515
Minimum-2.7
Maximum88.6
Zeros284
Zeros (%)1.1%
Negative10983
Negative (%)41.9%
Memory size1.4 MiB
2025-05-15T14:10:13.209176image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2.7
5-th percentile-2.1
Q1-1
median0.7
Q315.4
95-th percentile40.1
Maximum88.6
Range91.3
Interquartile range (IQR)16.4

Descriptive statistics

Standard deviation15.483687
Coefficient of variation (CV)1.9991975
Kurtosis11.308921
Mean7.7449515
Median Absolute Deviation (MAD)2.3
Skewness3.0136712
Sum202964.2
Variance239.74457
MonotonicityNot monotonic
2025-05-15T14:10:13.285988image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 4267
 
16.3%
0.9 1330
 
5.1%
0.8 702
 
2.7%
-1.3 641
 
2.4%
-1.2 605
 
2.3%
-1.1 597
 
2.3%
-1.4 584
 
2.2%
0.7 575
 
2.2%
-0.8 548
 
2.1%
-1 538
 
2.1%
Other values (387) 15819
60.4%
ValueCountFrequency (%)
-2.7 3
 
< 0.1%
-2.6 9
 
< 0.1%
-2.5 34
 
0.1%
-2.4 120
 
0.5%
-2.3 341
1.3%
-2.2 378
1.4%
-2.1 446
1.7%
-2 423
1.6%
-1.9 431
1.6%
-1.8 453
1.7%
ValueCountFrequency (%)
88.6 245
0.9%
88.5 99
0.4%
88.3 1
 
< 0.1%
84.9 1
 
< 0.1%
78 219
0.8%
75.5 1
 
< 0.1%
74.9 1
 
< 0.1%
60.1 1
 
< 0.1%
49.6 1
 
< 0.1%
47.6 1
 
< 0.1%

Blades PitchAngle Max. [°]
Real number (ℝ)

High correlation 

Distinct207
Distinct (%)0.8%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.6609479
Minimum-2.8
Maximum88.6
Zeros188
Zeros (%)0.7%
Negative20931
Negative (%)79.9%
Memory size1.4 MiB
2025-05-15T14:10:13.361017image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2.8
5-th percentile-2.8
Q1-2.8
median-2.8
Q3-0.9
95-th percentile20
Maximum88.6
Range91.4
Interquartile range (IQR)1.9

Descriptive statistics

Standard deviation13.752815
Coefficient of variation (CV)5.1683896
Kurtosis21.156469
Mean2.6609479
Median Absolute Deviation (MAD)0
Skewness4.1871652
Sum69732.8
Variance189.13993
MonotonicityNot monotonic
2025-05-15T14:10:13.435908image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.8 13375
51.0%
20 3769
 
14.4%
-2.7 1058
 
4.0%
-2.6 783
 
3.0%
-2.5 410
 
1.6%
-2.4 370
 
1.4%
-1.2 347
 
1.3%
-1.3 329
 
1.3%
-1.1 315
 
1.2%
-0.9 292
 
1.1%
Other values (197) 5158
 
19.7%
ValueCountFrequency (%)
-2.8 13375
51.0%
-2.7 1058
 
4.0%
-2.6 783
 
3.0%
-2.5 410
 
1.6%
-2.4 370
 
1.4%
-2.3 267
 
1.0%
-2.2 225
 
0.9%
-2.1 213
 
0.8%
-2 223
 
0.9%
-1.9 205
 
0.8%
ValueCountFrequency (%)
88.6 198
0.8%
88.5 113
0.4%
87 1
 
< 0.1%
78 155
0.6%
76.8 2
 
< 0.1%
76.6 6
 
< 0.1%
75.2 1
 
< 0.1%
60.7 1
 
< 0.1%
50 1
 
< 0.1%
49.9 1
 
< 0.1%

Blades PitchAngle Avg. [°]
Real number (ℝ)

High correlation  Zeros 

Distinct331
Distinct (%)1.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.3968442
Minimum-2.7
Maximum88.6
Zeros394
Zeros (%)1.5%
Negative17393
Negative (%)66.4%
Memory size1.4 MiB
2025-05-15T14:10:13.512218image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2.7
5-th percentile-2.6
Q1-2.4
median-1.2
Q34.3
95-th percentile20
Maximum88.6
Range91.3
Interquartile range (IQR)6.7

Descriptive statistics

Standard deviation13.95019
Coefficient of variation (CV)3.1727734
Kurtosis18.965378
Mean4.3968442
Median Absolute Deviation (MAD)1.3
Skewness3.9117856
Sum115223.7
Variance194.60781
MonotonicityNot monotonic
2025-05-15T14:10:13.591797image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 3754
 
14.3%
-2.5 3606
 
13.8%
-2.4 1654
 
6.3%
-2.6 1250
 
4.8%
-2.3 992
 
3.8%
-2.2 753
 
2.9%
-1.9 625
 
2.4%
-2.1 615
 
2.3%
-1.8 558
 
2.1%
-2 553
 
2.1%
Other values (321) 11846
45.2%
ValueCountFrequency (%)
-2.7 192
 
0.7%
-2.6 1250
 
4.8%
-2.5 3606
13.8%
-2.4 1654
6.3%
-2.3 992
 
3.8%
-2.2 753
 
2.9%
-2.1 615
 
2.3%
-2 553
 
2.1%
-1.9 625
 
2.4%
-1.8 558
 
2.1%
ValueCountFrequency (%)
88.6 198
0.8%
88.5 114
0.4%
88.3 1
 
< 0.1%
88.2 1
 
< 0.1%
87.6 1
 
< 0.1%
87.2 1
 
< 0.1%
86.4 1
 
< 0.1%
86.2 1
 
< 0.1%
85 1
 
< 0.1%
84.7 1
 
< 0.1%

Blades PitchAngle StdDev [°]
Real number (ℝ)

High correlation  Zeros 

Distinct181
Distinct (%)0.7%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.0965084
Minimum0
Maximum40.5
Zeros4681
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:13.669628image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1
median0.3
Q30.8
95-th percentile5.375
Maximum40.5
Range40.5
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation2.4322933
Coefficient of variation (CV)2.2182167
Kurtosis50.335794
Mean1.0965084
Median Absolute Deviation (MAD)0.3
Skewness5.6429601
Sum28735.1
Variance5.9160508
MonotonicityNot monotonic
2025-05-15T14:10:13.750432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4681
17.9%
0.1 3524
13.4%
0.2 2721
10.4%
0.3 2331
 
8.9%
0.4 2049
 
7.8%
0.5 1655
 
6.3%
0.6 1218
 
4.6%
0.7 928
 
3.5%
0.8 652
 
2.5%
0.9 440
 
1.7%
Other values (171) 6007
22.9%
ValueCountFrequency (%)
0 4681
17.9%
0.1 3524
13.4%
0.2 2721
10.4%
0.3 2331
8.9%
0.4 2049
7.8%
0.5 1655
 
6.3%
0.6 1218
 
4.6%
0.7 928
 
3.5%
0.8 652
 
2.5%
0.9 440
 
1.7%
ValueCountFrequency (%)
40.5 1
< 0.1%
38.9 1
< 0.1%
38.6 1
< 0.1%
36.9 1
< 0.1%
36.8 1
< 0.1%
35.9 1
< 0.1%
35.7 1
< 0.1%
35.6 1
< 0.1%
34.3 1
< 0.1%
34.1 1
< 0.1%

HVTrafo Phase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct66
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean44.952225
Minimum23
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:13.829650image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile34
Q136
median40
Q349
95-th percentile72
Maximum88
Range65
Interquartile range (IQR)13

Descriptive statistics

Standard deviation12.039368
Coefficient of variation (CV)0.26782586
Kurtosis0.51353123
Mean44.952225
Median Absolute Deviation (MAD)4
Skewness1.2475644
Sum1178018
Variance144.94639
MonotonicityNot monotonic
2025-05-15T14:10:13.909432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 3092
 
11.8%
35 1880
 
7.2%
37 1784
 
6.8%
38 1661
 
6.3%
39 1587
 
6.1%
40 1305
 
5.0%
44 1132
 
4.3%
42 984
 
3.8%
34 964
 
3.7%
41 883
 
3.4%
Other values (56) 10934
41.7%
ValueCountFrequency (%)
23 29
 
0.1%
24 21
 
0.1%
25 12
 
< 0.1%
26 9
 
< 0.1%
27 17
 
0.1%
28 33
 
0.1%
29 22
 
0.1%
30 51
 
0.2%
31 166
0.6%
32 391
1.5%
ValueCountFrequency (%)
88 1
 
< 0.1%
87 5
 
< 0.1%
86 2
 
< 0.1%
85 4
 
< 0.1%
84 3
 
< 0.1%
83 6
 
< 0.1%
82 13
 
< 0.1%
81 38
0.1%
80 23
0.1%
79 49
0.2%

HVTrafo Phase2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct69
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean49.80161
Minimum27
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:13.986327image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile37
Q140
median44
Q355
95-th percentile80
Maximum95
Range68
Interquartile range (IQR)15

Descriptive statistics

Standard deviation13.530193
Coefficient of variation (CV)0.27168183
Kurtosis0.43224426
Mean49.80161
Median Absolute Deviation (MAD)5
Skewness1.240191
Sum1305101
Variance183.06612
MonotonicityNot monotonic
2025-05-15T14:10:14.064894image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 2728
 
10.4%
39 1943
 
7.4%
42 1670
 
6.4%
43 1477
 
5.6%
41 1477
 
5.6%
44 1264
 
4.8%
38 1050
 
4.0%
48 953
 
3.6%
46 916
 
3.5%
47 915
 
3.5%
Other values (59) 11813
45.1%
ValueCountFrequency (%)
27 9
 
< 0.1%
28 27
 
0.1%
29 13
 
< 0.1%
30 21
 
0.1%
31 12
 
< 0.1%
32 47
 
0.2%
33 84
 
0.3%
34 213
0.8%
35 275
1.0%
36 420
1.6%
ValueCountFrequency (%)
95 2
 
< 0.1%
94 11
 
< 0.1%
93 20
 
0.1%
92 10
 
< 0.1%
91 19
 
0.1%
90 16
 
0.1%
89 23
 
0.1%
88 35
0.1%
87 50
0.2%
86 60
0.2%

HVTrafo Phase3 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct60
Distinct (%)0.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean44.683889
Minimum24
Maximum83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:14.143308image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile33
Q136
median40
Q349
95-th percentile70
Maximum83
Range59
Interquartile range (IQR)13

Descriptive statistics

Standard deviation11.494683
Coefficient of variation (CV)0.25724446
Kurtosis0.26681213
Mean44.683889
Median Absolute Deviation (MAD)5
Skewness1.1474583
Sum1170986
Variance132.12774
MonotonicityNot monotonic
2025-05-15T14:10:14.220594image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 2926
 
11.2%
35 1856
 
7.1%
38 1682
 
6.4%
37 1631
 
6.2%
39 1531
 
5.8%
40 1293
 
4.9%
44 1076
 
4.1%
34 1059
 
4.0%
42 958
 
3.7%
41 898
 
3.4%
Other values (50) 11296
43.1%
ValueCountFrequency (%)
24 20
 
0.1%
25 19
 
0.1%
26 13
 
< 0.1%
27 13
 
< 0.1%
28 39
 
0.1%
29 51
 
0.2%
30 121
 
0.5%
31 233
0.9%
32 448
1.7%
33 489
1.9%
ValueCountFrequency (%)
83 6
 
< 0.1%
82 2
 
< 0.1%
81 4
 
< 0.1%
80 5
 
< 0.1%
79 12
 
< 0.1%
78 35
 
0.1%
77 45
 
0.2%
76 98
0.4%
75 103
0.4%
74 155
0.6%

HVTrafo AirOutlet Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct49
Distinct (%)0.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean50.687362
Minimum20
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:14.298370image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile45
Q147
median49
Q353
95-th percentile62
Maximum68
Range48
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.7730517
Coefficient of variation (CV)0.11389529
Kurtosis2.0009099
Mean50.687362
Median Absolute Deviation (MAD)3
Skewness0.30790229
Sum1328313
Variance33.328126
MonotonicityNot monotonic
2025-05-15T14:10:14.378606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
48 3153
12.0%
46 2906
11.1%
47 2681
10.2%
49 2506
9.6%
50 2233
 
8.5%
45 1634
 
6.2%
51 1549
 
5.9%
52 1452
 
5.5%
53 1082
 
4.1%
54 871
 
3.3%
Other values (39) 6139
23.4%
ValueCountFrequency (%)
20 2
 
< 0.1%
21 3
 
< 0.1%
22 6
 
< 0.1%
23 12
 
< 0.1%
24 13
 
< 0.1%
25 16
0.1%
26 37
0.1%
27 32
0.1%
28 12
 
< 0.1%
29 14
 
0.1%
ValueCountFrequency (%)
68 3
 
< 0.1%
67 19
 
0.1%
66 96
 
0.4%
65 279
1.1%
64 389
1.5%
63 495
1.9%
62 528
2.0%
61 598
2.3%
60 513
2.0%
59 488
1.9%
Distinct1
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Memory size2.6 MiB
600.0
26206 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters131030
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row600.0
2nd row600.0
3rd row600.0
4th row600.0
5th row600.0

Common Values

ValueCountFrequency (%)
600.0 26206
> 99.9%
(Missing) 2
 
< 0.1%

Length

2025-05-15T14:10:14.446672image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:10:14.638887image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
600.0 26206
100.0%

Most occurring characters

ValueCountFrequency (%)
0 78618
60.0%
6 26206
 
20.0%
. 26206
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 131030
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 78618
60.0%
6 26206
 
20.0%
. 26206
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 131030
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 78618
60.0%
6 26206
 
20.0%
. 26206
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 131030
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 78618
60.0%
6 26206
 
20.0%
. 26206
 
20.0%

HourCounters Average GridOn Avg. [h]
Real number (ℝ)

High correlation  Skewed 

Distinct6
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean599.97867
Minimum260
Maximum600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:14.667852image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum260
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range340
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.27107
Coefficient of variation (CV)0.0037852513
Kurtosis19528.171
Mean599.97867
Median Absolute Deviation (MAD)0
Skewness-134.9748
Sum15723041
Variance5.1577591
MonotonicityNot monotonic
2025-05-15T14:10:14.717029image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
600 26201
> 99.9%
475 1
 
< 0.1%
593 1
 
< 0.1%
260 1
 
< 0.1%
564 1
 
< 0.1%
549 1
 
< 0.1%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
260 1
 
< 0.1%
475 1
 
< 0.1%
549 1
 
< 0.1%
564 1
 
< 0.1%
593 1
 
< 0.1%
600 26201
> 99.9%
ValueCountFrequency (%)
600 26201
> 99.9%
593 1
 
< 0.1%
564 1
 
< 0.1%
549 1
 
< 0.1%
475 1
 
< 0.1%
260 1
 
< 0.1%

HourCounters Average GridOk Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct31
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean593.22254
Minimum0
Maximum600
Zeros282
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:14.775805image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation62.94736
Coefficient of variation (CV)0.10611087
Kurtosis83.877929
Mean593.22254
Median Absolute Deviation (MAD)0
Skewness-9.254034
Sum15545990
Variance3962.3702
MonotonicityNot monotonic
2025-05-15T14:10:14.843617image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
600 25894
98.8%
0 282
 
1.1%
564 2
 
< 0.1%
472 1
 
< 0.1%
86 1
 
< 0.1%
24 1
 
< 0.1%
82 1
 
< 0.1%
475 1
 
< 0.1%
319 1
 
< 0.1%
204 1
 
< 0.1%
Other values (21) 21
 
0.1%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
0 282
1.1%
24 1
 
< 0.1%
29 1
 
< 0.1%
39 1
 
< 0.1%
40 1
 
< 0.1%
57 1
 
< 0.1%
82 1
 
< 0.1%
84 1
 
< 0.1%
86 1
 
< 0.1%
123 1
 
< 0.1%
ValueCountFrequency (%)
600 25894
98.8%
586 1
 
< 0.1%
564 2
 
< 0.1%
552 1
 
< 0.1%
550 1
 
< 0.1%
545 1
 
< 0.1%
499 1
 
< 0.1%
486 1
 
< 0.1%
475 1
 
< 0.1%
472 1
 
< 0.1%

HourCounters Average TurbineOk Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct31
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean592.57502
Minimum0
Maximum600
Zeros307
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:14.907733image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation65.870916
Coefficient of variation (CV)0.11116047
Kurtosis75.982585
Mean592.57502
Median Absolute Deviation (MAD)0
Skewness-8.8189152
Sum15529021
Variance4338.9776
MonotonicityNot monotonic
2025-05-15T14:10:14.974574image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
600 25867
98.7%
0 307
 
1.2%
564 3
 
< 0.1%
40 2
 
< 0.1%
86 1
 
< 0.1%
472 1
 
< 0.1%
82 1
 
< 0.1%
475 1
 
< 0.1%
319 1
 
< 0.1%
204 1
 
< 0.1%
Other values (21) 21
 
0.1%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
0 307
1.2%
17 1
 
< 0.1%
24 1
 
< 0.1%
29 1
 
< 0.1%
39 1
 
< 0.1%
40 2
 
< 0.1%
57 1
 
< 0.1%
82 1
 
< 0.1%
84 1
 
< 0.1%
86 1
 
< 0.1%
ValueCountFrequency (%)
600 25867
98.7%
564 3
 
< 0.1%
552 1
 
< 0.1%
545 1
 
< 0.1%
543 1
 
< 0.1%
477 1
 
< 0.1%
475 1
 
< 0.1%
472 1
 
< 0.1%
467 1
 
< 0.1%
438 1
 
< 0.1%

HourCounters Average Run Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct84
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean587.76441
Minimum0
Maximum600
Zeros488
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:15.047550image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation83.600203
Coefficient of variation (CV)0.1422342
Kurtosis44.279113
Mean587.76441
Median Absolute Deviation (MAD)0
Skewness-6.7819669
Sum15402954
Variance6988.9939
MonotonicityNot monotonic
2025-05-15T14:10:15.126577image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 25628
97.8%
0 488
 
1.9%
596 2
 
< 0.1%
40 2
 
< 0.1%
319 2
 
< 0.1%
247 2
 
< 0.1%
236 2
 
< 0.1%
53 2
 
< 0.1%
339 2
 
< 0.1%
463 2
 
< 0.1%
Other values (74) 74
 
0.3%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
0 488
1.9%
18 1
 
< 0.1%
21 1
 
< 0.1%
22 1
 
< 0.1%
25 1
 
< 0.1%
39 1
 
< 0.1%
40 2
 
< 0.1%
41 1
 
< 0.1%
53 2
 
< 0.1%
67 1
 
< 0.1%
ValueCountFrequency (%)
600 25628
97.8%
596 2
 
< 0.1%
569 1
 
< 0.1%
564 1
 
< 0.1%
558 1
 
< 0.1%
552 1
 
< 0.1%
548 1
 
< 0.1%
545 1
 
< 0.1%
543 1
 
< 0.1%
541 1
 
< 0.1%

HourCounters Average Gen1 Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct435
Distinct (%)1.7%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean213.80508
Minimum0
Maximum600
Zeros16475
Zeros (%)62.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:15.205427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)600

Descriptive statistics

Standard deviation284.11197
Coefficient of variation (CV)1.3288364
Kurtosis-1.6208775
Mean213.80508
Median Absolute Deviation (MAD)0
Skewness0.59935249
Sum5602976
Variance80719.609
MonotonicityNot monotonic
2025-05-15T14:10:15.285009image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16475
62.9%
600 8939
34.1%
256 6
 
< 0.1%
316 6
 
< 0.1%
329 6
 
< 0.1%
475 5
 
< 0.1%
404 5
 
< 0.1%
374 5
 
< 0.1%
28 5
 
< 0.1%
543 5
 
< 0.1%
Other values (425) 749
 
2.9%
ValueCountFrequency (%)
0 16475
62.9%
2 2
 
< 0.1%
3 1
 
< 0.1%
5 2
 
< 0.1%
7 2
 
< 0.1%
8 2
 
< 0.1%
9 2
 
< 0.1%
10 3
 
< 0.1%
11 3
 
< 0.1%
14 2
 
< 0.1%
ValueCountFrequency (%)
600 8939
34.1%
599 1
 
< 0.1%
598 2
 
< 0.1%
596 2
 
< 0.1%
595 2
 
< 0.1%
594 2
 
< 0.1%
593 1
 
< 0.1%
591 1
 
< 0.1%
590 1
 
< 0.1%
586 1
 
< 0.1%

HourCounters Average Gen2 Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct586
Distinct (%)2.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean267.11246
Minimum0
Maximum600
Zeros13367
Zeros (%)51.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:15.363119image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)600

Descriptive statistics

Standard deviation288.03561
Coefficient of variation (CV)1.0783309
Kurtosis-1.8990836
Mean267.11246
Median Absolute Deviation (MAD)0
Skewness0.21568507
Sum6999949
Variance82964.515
MonotonicityNot monotonic
2025-05-15T14:10:15.444172image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13367
51.0%
600 10080
38.5%
561 19
 
0.1%
563 16
 
0.1%
554 16
 
0.1%
530 14
 
0.1%
570 14
 
0.1%
520 14
 
0.1%
508 14
 
0.1%
555 13
 
< 0.1%
Other values (576) 2639
 
10.1%
ValueCountFrequency (%)
0 13367
51.0%
1 1
 
< 0.1%
6 3
 
< 0.1%
7 2
 
< 0.1%
8 3
 
< 0.1%
9 2
 
< 0.1%
10 5
 
< 0.1%
11 2
 
< 0.1%
12 3
 
< 0.1%
13 4
 
< 0.1%
ValueCountFrequency (%)
600 10080
38.5%
599 5
 
< 0.1%
598 5
 
< 0.1%
597 7
 
< 0.1%
596 6
 
< 0.1%
595 5
 
< 0.1%
594 5
 
< 0.1%
593 5
 
< 0.1%
592 3
 
< 0.1%
591 8
 
< 0.1%

HourCounters Average Yaw Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct281
Distinct (%)1.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean27.05327
Minimum0
Maximum600
Zeros10820
Zeros (%)41.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:15.525003image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median16
Q340
95-th percentile100
Maximum600
Range600
Interquartile range (IQR)40

Descriptive statistics

Standard deviation38.515384
Coefficient of variation (CV)1.4236868
Kurtosis25.424951
Mean27.05327
Median Absolute Deviation (MAD)16
Skewness3.3519929
Sum708958
Variance1483.4348
MonotonicityNot monotonic
2025-05-15T14:10:15.602572image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10820
41.3%
15 468
 
1.8%
16 445
 
1.7%
17 441
 
1.7%
18 416
 
1.6%
14 413
 
1.6%
20 401
 
1.5%
19 399
 
1.5%
13 372
 
1.4%
21 350
 
1.3%
Other values (271) 11681
44.6%
ValueCountFrequency (%)
0 10820
41.3%
1 20
 
0.1%
2 22
 
0.1%
3 31
 
0.1%
4 21
 
0.1%
5 14
 
0.1%
6 29
 
0.1%
7 21
 
0.1%
8 27
 
0.1%
9 49
 
0.2%
ValueCountFrequency (%)
600 8
< 0.1%
546 1
 
< 0.1%
542 1
 
< 0.1%
465 1
 
< 0.1%
433 1
 
< 0.1%
401 1
 
< 0.1%
385 1
 
< 0.1%
383 1
 
< 0.1%
381 1
 
< 0.1%
361 1
 
< 0.1%

HourCounters Average ServiceOn Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct26
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean6.612188
Minimum0
Maximum600
Zeros25905
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:15.668763image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation62.253979
Coefficient of variation (CV)9.4150345
Kurtosis85.980725
Mean6.612188
Median Absolute Deviation (MAD)0
Skewness9.3688114
Sum173279
Variance3875.5579
MonotonicityNot monotonic
2025-05-15T14:10:15.730676image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 25905
98.8%
600 276
 
1.1%
50 2
 
< 0.1%
127 1
 
< 0.1%
518 1
 
< 0.1%
576 1
 
< 0.1%
561 1
 
< 0.1%
281 1
 
< 0.1%
514 1
 
< 0.1%
36 1
 
< 0.1%
Other values (16) 16
 
0.1%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
0 25905
98.8%
36 1
 
< 0.1%
48 1
 
< 0.1%
50 2
 
< 0.1%
55 1
 
< 0.1%
114 1
 
< 0.1%
127 1
 
< 0.1%
132 1
 
< 0.1%
162 1
 
< 0.1%
172 1
 
< 0.1%
ValueCountFrequency (%)
600 276
1.1%
576 1
 
< 0.1%
571 1
 
< 0.1%
561 1
 
< 0.1%
560 1
 
< 0.1%
536 1
 
< 0.1%
518 1
 
< 0.1%
516 1
 
< 0.1%
514 1
 
< 0.1%
477 1
 
< 0.1%

HourCounters Average AmbientOk Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct79
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean589.64955
Minimum0
Maximum600
Zeros407
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:15.802012image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation76.922787
Coefficient of variation (CV)0.13045509
Kurtosis53.228941
Mean589.64955
Median Absolute Deviation (MAD)0
Skewness-7.4074715
Sum15452356
Variance5917.1151
MonotonicityNot monotonic
2025-05-15T14:10:15.880998image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 25713
98.1%
0 407
 
1.6%
541 5
 
< 0.1%
564 2
 
< 0.1%
319 2
 
< 0.1%
86 2
 
< 0.1%
217 2
 
< 0.1%
236 2
 
< 0.1%
39 1
 
< 0.1%
204 1
 
< 0.1%
Other values (69) 69
 
0.3%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
0 407
1.6%
3 1
 
< 0.1%
5 1
 
< 0.1%
22 1
 
< 0.1%
24 1
 
< 0.1%
29 1
 
< 0.1%
33 1
 
< 0.1%
39 1
 
< 0.1%
40 1
 
< 0.1%
41 1
 
< 0.1%
ValueCountFrequency (%)
600 25713
98.1%
599 1
 
< 0.1%
596 1
 
< 0.1%
564 2
 
< 0.1%
552 1
 
< 0.1%
550 1
 
< 0.1%
548 1
 
< 0.1%
545 1
 
< 0.1%
541 5
 
< 0.1%
540 1
 
< 0.1%

HourCounters Average WindOk Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct597
Distinct (%)2.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean422.53278
Minimum0
Maximum600
Zeros6296
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:15.959222image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q146.25
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)553.75

Descriptive statistics

Standard deviation261.32838
Coefficient of variation (CV)0.61848073
Kurtosis-1.1090557
Mean422.53278
Median Absolute Deviation (MAD)0
Skewness-0.89520453
Sum11072894
Variance68292.524
MonotonicityNot monotonic
2025-05-15T14:10:16.188434image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 16832
64.2%
0 6296
 
24.0%
598 14
 
0.1%
41 13
 
< 0.1%
26 12
 
< 0.1%
503 12
 
< 0.1%
590 12
 
< 0.1%
561 11
 
< 0.1%
448 11
 
< 0.1%
290 11
 
< 0.1%
Other values (587) 2982
 
11.4%
ValueCountFrequency (%)
0 6296
24.0%
1 7
 
< 0.1%
2 8
 
< 0.1%
3 6
 
< 0.1%
4 6
 
< 0.1%
5 4
 
< 0.1%
6 4
 
< 0.1%
7 6
 
< 0.1%
8 4
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
600 16832
64.2%
599 5
 
< 0.1%
598 14
 
0.1%
597 5
 
< 0.1%
596 6
 
< 0.1%
595 7
 
< 0.1%
594 8
 
< 0.1%
593 7
 
< 0.1%
592 6
 
< 0.1%
591 11
 
< 0.1%

HourCounters Average AlarmActive Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct83
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean12.193009
Minimum0
Maximum600
Zeros25632
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:16.267461image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation83.490952
Coefficient of variation (CV)6.8474443
Kurtosis44.432272
Mean12.193009
Median Absolute Deviation (MAD)0
Skewness6.7937878
Sum319530
Variance6970.7391
MonotonicityNot monotonic
2025-05-15T14:10:16.345625image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25632
97.8%
600 486
 
1.9%
560 2
 
< 0.1%
281 2
 
< 0.1%
4 2
 
< 0.1%
353 2
 
< 0.1%
261 2
 
< 0.1%
547 2
 
< 0.1%
364 2
 
< 0.1%
518 1
 
< 0.1%
Other values (73) 73
 
0.3%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
0 25632
97.8%
4 2
 
< 0.1%
31 1
 
< 0.1%
42 1
 
< 0.1%
48 1
 
< 0.1%
52 1
 
< 0.1%
55 1
 
< 0.1%
57 1
 
< 0.1%
59 1
 
< 0.1%
66 1
 
< 0.1%
ValueCountFrequency (%)
600 486
1.9%
593 1
 
< 0.1%
582 1
 
< 0.1%
579 1
 
< 0.1%
577 1
 
< 0.1%
575 1
 
< 0.1%
561 1
 
< 0.1%
560 2
 
< 0.1%
559 1
 
< 0.1%
547 2
 
< 0.1%

Total hour counter [h]
Real number (ℝ)

High correlation  Uniform 

Distinct4369
Distinct (%)16.7%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.92796 × 108
Minimum3.849336 × 108
Maximum4.006584 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:16.426055image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3.849336 × 108
5-th percentile3.857193 × 108
Q13.888648 × 108
median3.92796 × 108
Q33.967272 × 108
95-th percentile3.998727 × 108
Maximum4.006584 × 108
Range15724800
Interquartile range (IQR)7862400

Descriptive statistics

Standard deviation4539606.3
Coefficient of variation (CV)0.01155716
Kurtosis-1.2001176
Mean3.92796 × 108
Median Absolute Deviation (MAD)3931200
Skewness-8.4583179 × 10-8
Sum1.0293612 × 1013
Variance2.0608025 × 1013
MonotonicityIncreasing
2025-05-15T14:10:16.508840image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
400654784 6
 
< 0.1%
400651200 6
 
< 0.1%
384937216 6
 
< 0.1%
384940800 6
 
< 0.1%
384944384 6
 
< 0.1%
384948000 6
 
< 0.1%
384951616 6
 
< 0.1%
384955200 6
 
< 0.1%
384958784 6
 
< 0.1%
384962400 6
 
< 0.1%
Other values (4359) 26146
99.8%
ValueCountFrequency (%)
384933600 3
< 0.1%
384937216 6
< 0.1%
384940800 6
< 0.1%
384944384 6
< 0.1%
384948000 6
< 0.1%
384951616 6
< 0.1%
384955200 6
< 0.1%
384958784 6
< 0.1%
384962400 6
< 0.1%
384966016 6
< 0.1%
ValueCountFrequency (%)
400658400 3
< 0.1%
400654784 6
< 0.1%
400651200 6
< 0.1%
400647616 6
< 0.1%
400644000 6
< 0.1%
400640384 6
< 0.1%
400636800 6
< 0.1%
400633216 6
< 0.1%
400629600 6
< 0.1%
400625984 6
< 0.1%

Grid on hours [h]
Real number (ℝ)

High correlation  Uniform 

Distinct26206
Distinct (%)100.0%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.7673633 × 108
Minimum3.6887267 × 108
Maximum3.8460064 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:16.590945image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3.6887267 × 108
5-th percentile3.6965881 × 108
Q13.7280329 × 108
median3.7673502 × 108
Q33.806699 × 108
95-th percentile3.838145 × 108
Maximum3.8460064 × 108
Range15727968
Interquartile range (IQR)7866608

Descriptive statistics

Standard deviation4541223
Coefficient of variation (CV)0.012054115
Kurtosis-1.2004967
Mean3.7673633 × 108
Median Absolute Deviation (MAD)3933456
Skewness0.00019099999
Sum9.8727522 × 1012
Variance2.0622706 × 1013
MonotonicityStrictly increasing
2025-05-15T14:10:16.674429image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
379363840 1
 
< 0.1%
379363232 1
 
< 0.1%
379362656 1
 
< 0.1%
379362048 1
 
< 0.1%
379361440 1
 
< 0.1%
379360832 1
 
< 0.1%
379360256 1
 
< 0.1%
379359648 1
 
< 0.1%
379359040 1
 
< 0.1%
379358432 1
 
< 0.1%
Other values (26196) 26196
> 99.9%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
368872672 1
< 0.1%
368873280 1
< 0.1%
368873856 1
< 0.1%
368874464 1
< 0.1%
368875072 1
< 0.1%
368875680 1
< 0.1%
368876256 1
< 0.1%
368876864 1
< 0.1%
368877472 1
< 0.1%
368878080 1
< 0.1%
ValueCountFrequency (%)
384600640 1
< 0.1%
384600032 1
< 0.1%
384599456 1
< 0.1%
384598848 1
< 0.1%
384598240 1
< 0.1%
384597632 1
< 0.1%
384597056 1
< 0.1%
384596448 1
< 0.1%
384595840 1
< 0.1%
384595232 1
< 0.1%

Grid ok hours [h]
Real number (ℝ)

High correlation 

Distinct25924
Distinct (%)98.9%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.685644 × 108
Minimum3.6080582 × 108
Maximum3.7635632 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:16.756723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3.6080582 × 108
5-th percentile3.6158543 × 108
Q13.6469564 × 108
median3.6852027 × 108
Q33.7244481 × 108
95-th percentile3.7558942 × 108
Maximum3.7635632 × 108
Range15550496
Interquartile range (IQR)7749168

Descriptive statistics

Standard deviation4486225.6
Coefficient of variation (CV)0.012172162
Kurtosis-1.1932051
Mean3.685644 × 108
Median Absolute Deviation (MAD)3874736
Skewness0.0079774663
Sum9.6585988 × 1012
Variance2.012622 × 1013
MonotonicityIncreasing
2025-05-15T14:10:16.839727image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
367448288 162
 
0.6%
362054944 41
 
0.2%
375979680 32
 
0.1%
369256800 15
 
0.1%
362114464 14
 
0.1%
361368000 11
 
< 0.1%
366430784 8
 
< 0.1%
364880736 7
 
< 0.1%
371174752 1
 
< 0.1%
371171744 1
 
< 0.1%
Other values (25914) 25914
98.9%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
360805824 1
< 0.1%
360806432 1
< 0.1%
360807040 1
< 0.1%
360807616 1
< 0.1%
360808224 1
< 0.1%
360808832 1
< 0.1%
360809440 1
< 0.1%
360810016 1
< 0.1%
360810624 1
< 0.1%
360811232 1
< 0.1%
ValueCountFrequency (%)
376356320 1
< 0.1%
376355712 1
< 0.1%
376355104 1
< 0.1%
376354496 1
< 0.1%
376353920 1
< 0.1%
376353312 1
< 0.1%
376352704 1
< 0.1%
376352096 1
< 0.1%
376351520 1
< 0.1%
376350912 1
< 0.1%

Turbine ok hours [h]
Real number (ℝ)

High correlation 

Distinct25898
Distinct (%)98.8%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.6581414 × 108
Minimum3.5806266 × 108
Maximum3.7359616 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:16.918163image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3.5806266 × 108
5-th percentile3.5884226 × 108
Q13.6195247 × 108
median3.6577374 × 108
Q33.6968466 × 108
95-th percentile3.7282926 × 108
Maximum3.7359616 × 108
Range15533504
Interquartile range (IQR)7732184

Descriptive statistics

Standard deviation4478722
Coefficient of variation (CV)0.012243163
Kurtosis-1.1910676
Mean3.6581414 × 108
Median Absolute Deviation (MAD)3866240
Skewness0.0072035496
Sum9.5865252 × 1012
Variance2.0058951 × 1013
MonotonicityIncreasing
2025-05-15T14:10:17.002185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
364701792 162
 
0.6%
359311776 41
 
0.2%
373219520 32
 
0.1%
366972096 20
 
0.1%
366510272 15
 
0.1%
359371264 15
 
0.1%
358624800 11
 
< 0.1%
364701728 9
 
< 0.1%
363691360 8
 
< 0.1%
366671456 3
 
< 0.1%
Other values (25888) 25890
98.8%
ValueCountFrequency (%)
358062656 1
< 0.1%
358063264 1
< 0.1%
358063840 1
< 0.1%
358064448 1
< 0.1%
358065056 1
< 0.1%
358065664 1
< 0.1%
358066240 1
< 0.1%
358066848 1
< 0.1%
358067456 1
< 0.1%
358068064 1
< 0.1%
ValueCountFrequency (%)
373596160 1
< 0.1%
373595552 1
< 0.1%
373594976 1
< 0.1%
373594368 1
< 0.1%
373593760 1
< 0.1%
373593152 1
< 0.1%
373592576 1
< 0.1%
373591968 1
< 0.1%
373591360 1
< 0.1%
373590752 1
< 0.1%

Run hours [h]
Real number (ℝ)

High correlation 

Distinct25717
Distinct (%)98.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.5253931 × 108
Minimum3.4484602 × 108
Maximum3.6025331 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:17.084235image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3.4484602 × 108
5-th percentile3.4562559 × 108
Q13.4872108 × 108
median3.524812 × 108
Q33.563699 × 108
95-th percentile3.5948823 × 108
Maximum3.6025331 × 108
Range15407296
Interquartile range (IQR)7648816

Descriptive statistics

Standard deviation4434240.9
Coefficient of variation (CV)0.012578004
Kurtosis-1.1861767
Mean3.5253931 × 108
Median Absolute Deviation (MAD)3825760
Skewness0.0066333577
Sum9.238645 × 1012
Variance1.9662493 × 1013
MonotonicityIncreasing
2025-05-15T14:10:17.168204image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
351464928 177
 
0.7%
353679392 52
 
0.2%
346095104 41
 
0.2%
352005440 37
 
0.1%
359876704 32
 
0.1%
352005216 25
 
0.1%
353217728 15
 
0.1%
358126240 14
 
0.1%
346154624 14
 
0.1%
358116800 12
 
< 0.1%
Other values (25707) 25787
98.4%
ValueCountFrequency (%)
344846016 1
< 0.1%
344846624 1
< 0.1%
344847200 1
< 0.1%
344847808 1
< 0.1%
344848416 1
< 0.1%
344848992 1
< 0.1%
344849600 1
< 0.1%
344850208 1
< 0.1%
344850816 1
< 0.1%
344851392 1
< 0.1%
ValueCountFrequency (%)
360253312 1
< 0.1%
360252736 1
< 0.1%
360252128 1
< 0.1%
360251520 1
< 0.1%
360250912 1
< 0.1%
360250336 1
< 0.1%
360249728 1
< 0.1%
360249120 1
< 0.1%
360248512 1
< 0.1%
360247936 1
< 0.1%

Generator 1 hours [h]
Real number (ℝ)

High correlation 

Distinct9723
Distinct (%)37.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.5106201 × 108
Minimum1.4819726 × 108
Maximum1.538003 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:17.247385image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.4819726 × 108
5-th percentile1.4850285 × 108
Q11.4949781 × 108
median1.5112677 × 108
Q31.5248376 × 108
95-th percentile1.536514 × 108
Maximum1.538003 × 108
Range5603040
Interquartile range (IQR)2985952

Descriptive statistics

Standard deviation1663889.1
Coefficient of variation (CV)0.01101461
Kurtosis-1.2138665
Mean1.5106201 × 108
Median Absolute Deviation (MAD)1489520
Skewness-0.13291403
Sum3.9587311 × 1012
Variance2.7685269 × 1012
MonotonicityIncreasing
2025-05-15T14:10:17.330355image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
151614560 708
 
2.7%
149110768 637
 
2.4%
151944032 538
 
2.1%
148502848 521
 
2.0%
150897280 494
 
1.9%
153729008 492
 
1.9%
152637920 478
 
1.8%
148604880 457
 
1.7%
152306256 396
 
1.5%
151717504 374
 
1.4%
Other values (9713) 21111
80.6%
ValueCountFrequency (%)
148197264 113
0.4%
148197760 1
 
< 0.1%
148198352 1
 
< 0.1%
148198960 1
 
< 0.1%
148199552 1
 
< 0.1%
148200160 1
 
< 0.1%
148200752 1
 
< 0.1%
148201360 1
 
< 0.1%
148201952 1
 
< 0.1%
148202560 1
 
< 0.1%
ValueCountFrequency (%)
153800304 96
0.4%
153800032 1
 
< 0.1%
153799440 1
 
< 0.1%
153798832 1
 
< 0.1%
153798240 1
 
< 0.1%
153797632 1
 
< 0.1%
153797040 1
 
< 0.1%
153796432 1
 
< 0.1%
153795840 1
 
< 0.1%
153795232 1
 
< 0.1%

Generator 2 hours [h]
Real number (ℝ)

High correlation 

Distinct12838
Distinct (%)49.0%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.1861914 × 108
Minimum1.1514671 × 108
Maximum1.2214728 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:17.413053image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.1514671 × 108
5-th percentile1.1558042 × 108
Q11.169564 × 108
median1.1862325 × 108
Q31.2023485 × 108
95-th percentile1.2169458 × 108
Maximum1.2214728 × 108
Range7000568
Interquartile range (IQR)3278456

Descriptive statistics

Standard deviation1968045.9
Coefficient of variation (CV)0.016591302
Kurtosis-1.1859151
Mean1.1861914 × 108
Median Absolute Deviation (MAD)1658132
Skewness0.039112248
Sum3.1085331 × 1012
Variance3.8732048 × 1012
MonotonicityIncreasing
2025-05-15T14:10:17.495852image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
116278416 340
 
1.3%
118322696 266
 
1.0%
117399736 243
 
0.9%
119352744 222
 
0.8%
121694584 221
 
0.8%
117488040 216
 
0.8%
116580272 213
 
0.8%
118792816 200
 
0.8%
118664992 187
 
0.7%
118790560 186
 
0.7%
Other values (12828) 23912
91.2%
ValueCountFrequency (%)
115146712 1
< 0.1%
115147312 1
< 0.1%
115147912 1
< 0.1%
115148512 1
< 0.1%
115149112 1
< 0.1%
115149712 1
< 0.1%
115150312 1
< 0.1%
115150912 1
< 0.1%
115151512 1
< 0.1%
115152112 1
< 0.1%
ValueCountFrequency (%)
122147280 1
< 0.1%
122146680 1
< 0.1%
122146080 1
< 0.1%
122145480 1
< 0.1%
122144880 1
< 0.1%
122144280 1
< 0.1%
122143680 1
< 0.1%
122143080 1
< 0.1%
122142480 1
< 0.1%
122141880 1
< 0.1%

Yaw hours [h]
Real number (ℝ)

High correlation 

Distinct15388
Distinct (%)58.7%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean16469963
Minimum16123716
Maximum16833900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:17.731648image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum16123716
5-th percentile16163985
Q116300704
median16470612
Q316625342
95-th percentile16802684
Maximum16833900
Range710184
Interquartile range (IQR)324638

Descriptive statistics

Standard deviation202657.53
Coefficient of variation (CV)0.012304675
Kurtosis-1.100335
Mean16469963
Median Absolute Deviation (MAD)163594.5
Skewness0.073038676
Sum4.3161184 × 1011
Variance4.1070075 × 1010
MonotonicityIncreasing
2025-05-15T14:10:17.812676image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16417525 177
 
0.7%
16173400 92
 
0.4%
16514540 70
 
0.3%
16603480 59
 
0.2%
16825318 58
 
0.2%
16167382 54
 
0.2%
16519976 52
 
0.2%
16276237 49
 
0.2%
16513233 47
 
0.2%
16612806 47
 
0.2%
Other values (15378) 25501
97.3%
ValueCountFrequency (%)
16123716 8
< 0.1%
16123736 1
 
< 0.1%
16123775 2
 
< 0.1%
16123796 7
< 0.1%
16123814 1
 
< 0.1%
16123835 1
 
< 0.1%
16123862 9
< 0.1%
16123886 1
 
< 0.1%
16123930 4
< 0.1%
16123947 3
 
< 0.1%
ValueCountFrequency (%)
16833900 6
 
< 0.1%
16833884 2
 
< 0.1%
16833870 3
 
< 0.1%
16833856 6
 
< 0.1%
16833842 1
 
< 0.1%
16833828 3
 
< 0.1%
16833808 3
 
< 0.1%
16833796 2
 
< 0.1%
16833776 1
 
< 0.1%
16833760 15
0.1%

Service hours [h]
Real number (ℝ)

High correlation 

Distinct303
Distinct (%)1.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean6384200.7
Minimum6281898
Maximum6455625
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:17.894050image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum6281898
5-th percentile6288450
Q16322705
median6426043
Q36436376
95-th percentile6436376
Maximum6455625
Range173727
Interquartile range (IQR)113671

Descriptive statistics

Standard deviation59582.603
Coefficient of variation (CV)0.0093328212
Kurtosis-1.6871715
Mean6384200.7
Median Absolute Deviation (MAD)10333
Skewness-0.3636625
Sum1.6730436 × 1011
Variance3.5500866 × 109
MonotonicityIncreasing
2025-05-15T14:10:17.976318image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6436376 10375
39.6%
6322705 5736
21.9%
6426043 3015
 
11.5%
6328421 1688
 
6.4%
6288450 1145
 
4.4%
6281898 937
 
3.6%
6322028 857
 
3.3%
6435529 792
 
3.0%
6455625 628
 
2.4%
6323311 598
 
2.3%
Other values (293) 435
 
1.7%
ValueCountFrequency (%)
6281898 937
3.6%
6281935 1
 
< 0.1%
6282533 1
 
< 0.1%
6283133 1
 
< 0.1%
6283734 1
 
< 0.1%
6284334 1
 
< 0.1%
6284934 1
 
< 0.1%
6285534 1
 
< 0.1%
6286134 1
 
< 0.1%
6286733 1
 
< 0.1%
ValueCountFrequency (%)
6455625 628
2.4%
6455454 1
 
< 0.1%
6454853 1
 
< 0.1%
6454253 1
 
< 0.1%
6453653 1
 
< 0.1%
6453053 1
 
< 0.1%
6452453 1
 
< 0.1%
6451855 1
 
< 0.1%
6451253 1
 
< 0.1%
6450653 1
 
< 0.1%

Ambient ok hours [h]
Real number (ℝ)

High correlation 

Distinct25799
Distinct (%)98.4%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.6831207 × 108
Minimum3.6059491 × 108
Maximum3.7605174 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:18.057675image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3.6059491 × 108
5-th percentile3.6137451 × 108
Q13.6447032 × 108
median3.682451 × 108
Q33.7216804 × 108
95-th percentile3.7528648 × 108
Maximum3.7605174 × 108
Range15456832
Interquartile range (IQR)7697720

Descriptive statistics

Standard deviation4454492.6
Coefficient of variation (CV)0.012094343
Kurtosis-1.1904603
Mean3.6831207 × 108
Median Absolute Deviation (MAD)3849824
Skewness0.0072897376
Sum9.6519862 × 1012
Variance1.9842504 × 1013
MonotonicityIncreasing
2025-05-15T14:10:18.143012image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
367226560 162
 
0.6%
361844032 41
 
0.2%
367768896 37
 
0.1%
375675136 32
 
0.1%
367768512 24
 
0.1%
368981632 15
 
0.1%
361903552 14
 
0.1%
373924448 12
 
< 0.1%
373914976 12
 
< 0.1%
361157056 11
 
< 0.1%
Other values (25789) 25846
98.6%
ValueCountFrequency (%)
360594912 1
< 0.1%
360595520 1
< 0.1%
360596096 1
< 0.1%
360596704 1
< 0.1%
360597312 1
< 0.1%
360597920 1
< 0.1%
360598496 1
< 0.1%
360599104 1
< 0.1%
360599712 1
< 0.1%
360600320 1
< 0.1%
ValueCountFrequency (%)
376051744 1
< 0.1%
376051168 1
< 0.1%
376050560 1
< 0.1%
376049952 1
< 0.1%
376049344 1
< 0.1%
376048768 1
< 0.1%
376048160 1
< 0.1%
376047552 1
< 0.1%
376046944 1
< 0.1%
376046368 1
< 0.1%

Wind ok hours [h]
Real number (ℝ)

High correlation 

Distinct19874
Distinct (%)75.8%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.5587152 × 108
Minimum2.5025248 × 108
Maximum2.6132653 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:18.228173image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2.5025248 × 108
5-th percentile2.5092818 × 108
Q12.5299794 × 108
median2.560005 × 108
Q32.5852741 × 108
95-th percentile2.6082222 × 108
Maximum2.6132653 × 108
Range11074048
Interquartile range (IQR)5529464

Descriptive statistics

Standard deviation3183649.5
Coefficient of variation (CV)0.012442375
Kurtosis-1.2026441
Mean2.5587152 × 108
Median Absolute Deviation (MAD)2750088
Skewness-0.075995097
Sum6.705369 × 1012
Variance1.0135624 × 1013
MonotonicityIncreasing
2025-05-15T14:10:18.307942image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
258253376 155
 
0.6%
251147616 139
 
0.5%
260993248 115
 
0.4%
256761568 109
 
0.4%
256993104 109
 
0.4%
252596432 105
 
0.4%
255297280 95
 
0.4%
256788272 92
 
0.4%
258912176 89
 
0.3%
251449392 88
 
0.3%
Other values (19864) 25110
95.8%
ValueCountFrequency (%)
250252480 1
< 0.1%
250252736 1
< 0.1%
250253088 1
< 0.1%
250253680 1
< 0.1%
250254272 1
< 0.1%
250254880 1
< 0.1%
250255488 1
< 0.1%
250256080 1
< 0.1%
250256688 1
< 0.1%
250257280 1
< 0.1%
ValueCountFrequency (%)
261326528 1
< 0.1%
261325936 1
< 0.1%
261325328 1
< 0.1%
261324736 1
< 0.1%
261324128 1
< 0.1%
261323536 1
< 0.1%
261322928 1
< 0.1%
261322336 1
< 0.1%
261321728 1
< 0.1%
261321136 1
< 0.1%

Production LatestAverage Active Power Gen 0 Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct2012
Distinct (%)7.7%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-381.20728
Minimum-4762
Maximum0
Zeros19714
Zeros (%)75.2%
Negative6492
Negative (%)24.8%
Memory size1.4 MiB
2025-05-15T14:10:18.389010image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-4762
5-th percentile-2018
Q10
median0
Q30
95-th percentile0
Maximum0
Range4762
Interquartile range (IQR)0

Descriptive statistics

Standard deviation759.73698
Coefficient of variation (CV)-1.992976
Kurtosis1.1310485
Mean-381.20728
Median Absolute Deviation (MAD)0
Skewness-1.6755783
Sum-9989918
Variance577200.28
MonotonicityNot monotonic
2025-05-15T14:10:18.468616image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19714
75.2%
-1 75
 
0.3%
-1901 25
 
0.1%
-1851 24
 
0.1%
-1862 21
 
0.1%
-1870 21
 
0.1%
-1883 21
 
0.1%
-1866 21
 
0.1%
-1895 21
 
0.1%
-1836 20
 
0.1%
Other values (2002) 6243
 
23.8%
ValueCountFrequency (%)
-4762 1
< 0.1%
-4087 1
< 0.1%
-3860 1
< 0.1%
-3772 1
< 0.1%
-3679 1
< 0.1%
-3668 1
< 0.1%
-3215 1
< 0.1%
-3096 1
< 0.1%
-3045 1
< 0.1%
-3006 1
< 0.1%
ValueCountFrequency (%)
0 19714
75.2%
-1 75
 
0.3%
-9 1
 
< 0.1%
-11 1
 
< 0.1%
-15 2
 
< 0.1%
-17 1
 
< 0.1%
-20 1
 
< 0.1%
-22 2
 
< 0.1%
-23 1
 
< 0.1%
-24 1
 
< 0.1%

Production LatestAverage Active Power Gen 1 Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct9476
Distinct (%)36.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean100800.63
Minimum-103
Maximum500264
Zeros16440
Zeros (%)62.7%
Negative4
Negative (%)< 0.1%
Memory size1.4 MiB
2025-05-15T14:10:18.547053image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-103
5-th percentile0
Q10
median0
Q3175883
95-th percentile477937.75
Maximum500264
Range500367
Interquartile range (IQR)175883

Descriptive statistics

Standard deviation157983.67
Coefficient of variation (CV)1.5672885
Kurtosis0.45571704
Mean100800.63
Median Absolute Deviation (MAD)0
Skewness1.3592057
Sum2.6415814 × 109
Variance2.4958841 × 1010
MonotonicityNot monotonic
2025-05-15T14:10:18.628004image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16440
62.7%
1 35
 
0.1%
500050 8
 
< 0.1%
500055 7
 
< 0.1%
500060 7
 
< 0.1%
500057 6
 
< 0.1%
500049 5
 
< 0.1%
500065 5
 
< 0.1%
500045 5
 
< 0.1%
500051 5
 
< 0.1%
Other values (9466) 9683
36.9%
ValueCountFrequency (%)
-103 1
 
< 0.1%
-45 1
 
< 0.1%
-33 1
 
< 0.1%
-26 1
 
< 0.1%
0 16440
62.7%
1 35
 
0.1%
46 1
 
< 0.1%
72 1
 
< 0.1%
76 1
 
< 0.1%
158 1
 
< 0.1%
ValueCountFrequency (%)
500264 1
< 0.1%
500191 1
< 0.1%
500137 1
< 0.1%
500123 1
< 0.1%
500111 1
< 0.1%
500108 1
< 0.1%
500104 1
< 0.1%
500096 1
< 0.1%
500095 1
< 0.1%
500093 2
< 0.1%

Production LatestAverage Active Power Gen 2 Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct11874
Distinct (%)45.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean17669.312
Minimum-1016
Maximum141069
Zeros13277
Zeros (%)50.7%
Negative176
Negative (%)0.7%
Memory size1.4 MiB
2025-05-15T14:10:18.706508image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1016
5-th percentile0
Q10
median0
Q329449.25
95-th percentile75739.25
Maximum141069
Range142085
Interquartile range (IQR)29449.25

Descriptive statistics

Standard deviation26462.922
Coefficient of variation (CV)1.4976769
Kurtosis1.840597
Mean17669.312
Median Absolute Deviation (MAD)0
Skewness1.5888563
Sum4.63042 × 108
Variance7.0028622 × 108
MonotonicityNot monotonic
2025-05-15T14:10:18.787515image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13277
50.7%
1 85
 
0.3%
-1 8
 
< 0.1%
-223 4
 
< 0.1%
-26 4
 
< 0.1%
6868 4
 
< 0.1%
26886 3
 
< 0.1%
23657 3
 
< 0.1%
24525 3
 
< 0.1%
39930 3
 
< 0.1%
Other values (11864) 12812
48.9%
ValueCountFrequency (%)
-1016 1
< 0.1%
-998 1
< 0.1%
-951 1
< 0.1%
-942 1
< 0.1%
-927 1
< 0.1%
-896 1
< 0.1%
-829 1
< 0.1%
-763 1
< 0.1%
-666 1
< 0.1%
-665 1
< 0.1%
ValueCountFrequency (%)
141069 1
< 0.1%
139801 1
< 0.1%
139128 1
< 0.1%
138765 1
< 0.1%
138095 1
< 0.1%
136885 1
< 0.1%
135767 1
< 0.1%
134407 1
< 0.1%
134274 1
< 0.1%
134260 1
< 0.1%

Production LatestAverage Total Active Power Avg. [W]
Real number (ℝ)

High correlation 

Distinct21547
Distinct (%)82.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean118088.74
Minimum-4762
Maximum500264
Zeros5
Zeros (%)< 0.1%
Negative4922
Negative (%)18.8%
Memory size1.4 MiB
2025-05-15T14:10:18.869760image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-4762
5-th percentile-2021
Q19038
median49284.5
Q3176142
95-th percentile477937.75
Maximum500264
Range505026
Interquartile range (IQR)167104

Descriptive statistics

Standard deviation149298.85
Coefficient of variation (CV)1.2642937
Kurtosis0.56708997
Mean118088.74
Median Absolute Deviation (MAD)51061.5
Skewness1.3460901
Sum3.0946334 × 109
Variance2.2290147 × 1010
MonotonicityNot monotonic
2025-05-15T14:10:18.951154image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1851 24
 
0.1%
-1901 24
 
0.1%
-1883 21
 
0.1%
-1862 20
 
0.1%
-1873 20
 
0.1%
-1895 20
 
0.1%
-1870 20
 
0.1%
-1866 19
 
0.1%
-1836 19
 
0.1%
-1865 18
 
0.1%
Other values (21537) 26001
99.2%
ValueCountFrequency (%)
-4762 1
< 0.1%
-4087 1
< 0.1%
-3860 1
< 0.1%
-3772 1
< 0.1%
-3679 1
< 0.1%
-3668 1
< 0.1%
-3215 1
< 0.1%
-3135 1
< 0.1%
-3096 1
< 0.1%
-3045 1
< 0.1%
ValueCountFrequency (%)
500264 1
< 0.1%
500191 1
< 0.1%
500137 1
< 0.1%
500123 1
< 0.1%
500111 1
< 0.1%
500108 1
< 0.1%
500104 1
< 0.1%
500096 1
< 0.1%
500095 1
< 0.1%
500093 2
< 0.1%

Production LatestAverage Reactive Power Gen 0 Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct2088
Distinct (%)8.0%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-428.54014
Minimum-3932
Maximum0
Zeros19745
Zeros (%)75.3%
Negative6461
Negative (%)24.7%
Memory size1.4 MiB
2025-05-15T14:10:19.031935image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3932
5-th percentile-2328
Q10
median0
Q30
95-th percentile0
Maximum0
Range3932
Interquartile range (IQR)0

Descriptive statistics

Standard deviation859.96022
Coefficient of variation (CV)-2.0067203
Kurtosis0.98522803
Mean-428.54014
Median Absolute Deviation (MAD)0
Skewness-1.6606405
Sum-11230323
Variance739531.58
MonotonicityNot monotonic
2025-05-15T14:10:19.269259image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19745
75.3%
-17 89
 
0.3%
-1 73
 
0.3%
-16 36
 
0.1%
-2210 25
 
0.1%
-2186 21
 
0.1%
-2196 20
 
0.1%
-2201 18
 
0.1%
-2157 17
 
0.1%
-2150 17
 
0.1%
Other values (2078) 6145
 
23.4%
ValueCountFrequency (%)
-3932 1
< 0.1%
-3816 1
< 0.1%
-3516 1
< 0.1%
-3490 2
< 0.1%
-3466 1
< 0.1%
-3437 1
< 0.1%
-3386 1
< 0.1%
-3381 1
< 0.1%
-3366 1
< 0.1%
-3348 1
< 0.1%
ValueCountFrequency (%)
0 19745
75.3%
-1 73
 
0.3%
-2 1
 
< 0.1%
-3 4
 
< 0.1%
-5 2
 
< 0.1%
-6 4
 
< 0.1%
-8 4
 
< 0.1%
-9 3
 
< 0.1%
-10 3
 
< 0.1%
-11 4
 
< 0.1%

Production LatestAverage Reactive Power Gen 1 Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct138
Distinct (%)0.5%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-1.3008853
Minimum-224
Maximum5
Zeros22732
Zeros (%)86.7%
Negative750
Negative (%)2.9%
Memory size1.4 MiB
2025-05-15T14:10:19.349121image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-224
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range229
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.491618
Coefficient of variation (CV)-8.0649833
Kurtosis89.133743
Mean-1.3008853
Median Absolute Deviation (MAD)0
Skewness-8.734817
Sum-34091
Variance110.07405
MonotonicityNot monotonic
2025-05-15T14:10:19.425988image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22732
86.7%
1 2268
 
8.7%
2 358
 
1.4%
-1 133
 
0.5%
3 87
 
0.3%
-57 19
 
0.1%
-60 16
 
0.1%
-73 15
 
0.1%
-18 13
 
< 0.1%
-68 12
 
< 0.1%
Other values (128) 553
 
2.1%
ValueCountFrequency (%)
-224 1
< 0.1%
-193 1
< 0.1%
-188 1
< 0.1%
-186 1
< 0.1%
-178 1
< 0.1%
-174 1
< 0.1%
-170 1
< 0.1%
-144 1
< 0.1%
-142 1
< 0.1%
-139 1
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
4 10
 
< 0.1%
3 87
 
0.3%
2 358
 
1.4%
1 2268
 
8.7%
0 22732
86.7%
-1 133
 
0.5%
-2 6
 
< 0.1%
-3 1
 
< 0.1%
-4 1
 
< 0.1%

Production LatestAverage Reactive Power Gen 2 Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct516
Distinct (%)2.0%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-15.074143
Minimum-1375
Maximum1
Zeros23718
Zeros (%)90.5%
Negative2473
Negative (%)9.4%
Memory size1.4 MiB
2025-05-15T14:10:19.500519image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1375
5-th percentile-88
Q10
median0
Q30
95-th percentile0
Maximum1
Range1376
Interquartile range (IQR)0

Descriptive statistics

Standard deviation68.412702
Coefficient of variation (CV)-4.5384139
Kurtosis66.990102
Mean-15.074143
Median Absolute Deviation (MAD)0
Skewness-6.8879675
Sum-395033
Variance4680.2978
MonotonicityNot monotonic
2025-05-15T14:10:19.579443image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23718
90.5%
-1 329
 
1.3%
-71 29
 
0.1%
-68 28
 
0.1%
-61 22
 
0.1%
-73 22
 
0.1%
-72 22
 
0.1%
-66 22
 
0.1%
-67 20
 
0.1%
-74 20
 
0.1%
Other values (506) 1974
 
7.5%
ValueCountFrequency (%)
-1375 1
< 0.1%
-1335 1
< 0.1%
-1221 1
< 0.1%
-1204 1
< 0.1%
-1165 1
< 0.1%
-1145 1
< 0.1%
-1118 1
< 0.1%
-1056 1
< 0.1%
-1044 1
< 0.1%
-1036 1
< 0.1%
ValueCountFrequency (%)
1 15
 
0.1%
0 23718
90.5%
-1 329
 
1.3%
-2 4
 
< 0.1%
-3 2
 
< 0.1%
-4 9
 
< 0.1%
-5 6
 
< 0.1%
-6 4
 
< 0.1%
-7 8
 
< 0.1%
-8 5
 
< 0.1%

Production LatestAverage Total Reactive Power Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct2137
Distinct (%)8.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-444.91517
Minimum-3932
Maximum5
Zeros15819
Zeros (%)60.4%
Negative7656
Negative (%)29.2%
Memory size1.4 MiB
2025-05-15T14:10:19.659866image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3932
5-th percentile-2346.75
Q1-78
median0
Q30
95-th percentile1
Maximum5
Range3937
Interquartile range (IQR)78

Descriptive statistics

Standard deviation872.18594
Coefficient of variation (CV)-1.9603421
Kurtosis0.82655017
Mean-444.91517
Median Absolute Deviation (MAD)0
Skewness-1.6141234
Sum-11659447
Variance760708.31
MonotonicityNot monotonic
2025-05-15T14:10:19.742075image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15819
60.4%
1 2275
 
8.7%
-1 429
 
1.6%
2 358
 
1.4%
-17 89
 
0.3%
3 87
 
0.3%
-16 37
 
0.1%
-2210 26
 
0.1%
-73 24
 
0.1%
-67 21
 
0.1%
Other values (2127) 7041
26.9%
ValueCountFrequency (%)
-3932 1
< 0.1%
-3816 1
< 0.1%
-3516 1
< 0.1%
-3490 2
< 0.1%
-3466 1
< 0.1%
-3437 1
< 0.1%
-3386 1
< 0.1%
-3381 1
< 0.1%
-3366 1
< 0.1%
-3348 1
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
4 10
 
< 0.1%
3 87
 
0.3%
2 358
 
1.4%
1 2275
 
8.7%
0 15819
60.4%
-1 429
 
1.6%
-2 15
 
0.1%
-3 5
 
< 0.1%
-4 1
 
< 0.1%

Active power generator 0, Total accumulated [W]
Real number (ℝ)

High correlation 

Distinct5479
Distinct (%)20.9%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-353222.75
Minimum-358562
Maximum-348559
Zeros0
Zeros (%)0.0%
Negative26206
Negative (%)> 99.9%
Memory size1.4 MiB
2025-05-15T14:10:19.824236image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-358562
5-th percentile-357885
Q1-355930.75
median-352801
Q3-351077
95-th percentile-348698.25
Maximum-348559
Range10003
Interquartile range (IQR)4853.75

Descriptive statistics

Standard deviation2900.7884
Coefficient of variation (CV)-0.0082123488
Kurtosis-1.1037627
Mean-353222.75
Median Absolute Deviation (MAD)2133
Skewness-0.2702029
Sum-9.2565553 × 109
Variance8414573.3
MonotonicityDecreasing
2025-05-15T14:10:19.905047image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-350289 897
 
3.4%
-352871 446
 
1.7%
-357715 391
 
1.5%
-351339 390
 
1.5%
-354476 380
 
1.4%
-357754 368
 
1.4%
-351475 340
 
1.3%
-350900 327
 
1.2%
-351193 322
 
1.2%
-348588 285
 
1.1%
Other values (5469) 22060
84.2%
ValueCountFrequency (%)
-358562 79
 
0.3%
-358561 1
 
< 0.1%
-358558 267
1.0%
-358557 2
 
< 0.1%
-358555 1
 
< 0.1%
-358553 1
 
< 0.1%
-358551 1
 
< 0.1%
-358549 1
 
< 0.1%
-358547 1
 
< 0.1%
-358544 1
 
< 0.1%
ValueCountFrequency (%)
-348559 30
 
0.1%
-348560 61
0.2%
-348561 1
 
< 0.1%
-348563 1
 
< 0.1%
-348565 1
 
< 0.1%
-348568 1
 
< 0.1%
-348569 1
 
< 0.1%
-348571 1
 
< 0.1%
-348572 1
 
< 0.1%
-348573 134
0.5%

Active power generator 1, Total accumulated [W]
Real number (ℝ)

High correlation 

Distinct9687
Distinct (%)37.0%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean66475074
Minimum65065540
Maximum67707120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:19.982613image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum65065540
5-th percentile65201660
Q165670776
median66549552
Q367209936
95-th percentile67660472
Maximum67707120
Range2641580
Interquartile range (IQR)1539160

Descriptive statistics

Standard deviation823270.8
Coefficient of variation (CV)0.012384654
Kurtosis-1.3075623
Mean66475074
Median Absolute Deviation (MAD)736464
Skewness-0.23570717
Sum1.7420458 × 1012
Variance6.7777482 × 1011
MonotonicityIncreasing
2025-05-15T14:10:20.067182image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66831456 708
 
2.7%
65486504 637
 
2.4%
66976080 539
 
2.1%
65201660 521
 
2.0%
66417584 494
 
1.9%
67688784 492
 
1.9%
67269024 478
 
1.8%
65233400 457
 
1.7%
67107344 396
 
1.5%
66879740 374
 
1.4%
Other values (9677) 21110
80.5%
ValueCountFrequency (%)
65065540 113
0.4%
65065696 1
 
< 0.1%
65065932 1
 
< 0.1%
65066172 1
 
< 0.1%
65066404 1
 
< 0.1%
65066632 1
 
< 0.1%
65066864 1
 
< 0.1%
65067100 1
 
< 0.1%
65067360 1
 
< 0.1%
65067600 1
 
< 0.1%
ValueCountFrequency (%)
67707120 96
0.4%
67707088 1
 
< 0.1%
67707000 1
 
< 0.1%
67706896 1
 
< 0.1%
67706776 1
 
< 0.1%
67706648 1
 
< 0.1%
67706520 1
 
< 0.1%
67706392 1
 
< 0.1%
67706288 1
 
< 0.1%
67706176 1
 
< 0.1%

Active power generator 2, Total accumulated [W]
Real number (ℝ)

High correlation 

Distinct12492
Distinct (%)47.7%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean7855997.6
Minimum7621652
Maximum8084781
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:20.149997image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum7621652
5-th percentile7655379
Q17746440.8
median7863309
Q37959701.8
95-th percentile8055502
Maximum8084781
Range463129
Interquartile range (IQR)213261

Descriptive statistics

Standard deviation128130.76
Coefficient of variation (CV)0.016309928
Kurtosis-1.1631122
Mean7855997.6
Median Absolute Deviation (MAD)106540
Skewness-0.037032441
Sum2.0587427 × 1011
Variance1.6417491 × 1010
MonotonicityNot monotonic
2025-05-15T14:10:20.232346image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7699479 340
 
1.3%
7841043 266
 
1.0%
7781027 243
 
0.9%
7907236 222
 
0.8%
8055502 221
 
0.8%
7786899 216
 
0.8%
7717476 213
 
0.8%
7875282 200
 
0.8%
7866760 187
 
0.7%
7875034 186
 
0.7%
Other values (12482) 23912
91.2%
ValueCountFrequency (%)
7621652 1
< 0.1%
7621663 1
< 0.1%
7621681 1
< 0.1%
7621714 1
< 0.1%
7621746 1
< 0.1%
7621767 1
< 0.1%
7621788 1
< 0.1%
7621819 1
< 0.1%
7621852 1
< 0.1%
7621888 1
< 0.1%
ValueCountFrequency (%)
8084781 1
< 0.1%
8084750 1
< 0.1%
8084714 1
< 0.1%
8084671 1
< 0.1%
8084622 1
< 0.1%
8084567 1
< 0.1%
8084501 1
< 0.1%
8084427 1
< 0.1%
8084354 1
< 0.1%
8084286 1
< 0.1%

Total Active power [W]
Real number (ℝ)

High correlation 

Distinct20478
Distinct (%)78.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean73977850
Minimum72338632
Maximum75433336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:20.309137image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum72338632
5-th percentile72508362
Q173066142
median74060060
Q374813728
95-th percentile75358088
Maximum75433336
Range3094704
Interquartile range (IQR)1747586

Descriptive statistics

Standard deviation947743.05
Coefficient of variation (CV)0.012811173
Kurtosis-1.2923052
Mean73977850
Median Absolute Deviation (MAD)835772
Skewness-0.21148355
Sum1.9386635 × 1012
Variance8.982169 × 1011
MonotonicityNot monotonic
2025-05-15T14:10:20.391013image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73891240 71
 
0.3%
73891248 55
 
0.2%
73891256 29
 
0.1%
73891232 26
 
0.1%
74395400 22
 
0.1%
73810752 21
 
0.1%
75397328 19
 
0.1%
73446344 19
 
0.1%
74769312 19
 
0.1%
74704544 18
 
0.1%
Other values (20468) 25907
98.9%
ValueCountFrequency (%)
72338632 1
< 0.1%
72338640 1
< 0.1%
72338664 1
< 0.1%
72338696 1
< 0.1%
72338728 1
< 0.1%
72338752 1
< 0.1%
72338768 1
< 0.1%
72338800 1
< 0.1%
72338832 1
< 0.1%
72338872 1
< 0.1%
ValueCountFrequency (%)
75433336 1
< 0.1%
75433312 1
< 0.1%
75433272 1
< 0.1%
75433232 1
< 0.1%
75433176 1
< 0.1%
75433128 1
< 0.1%
75433056 1
< 0.1%
75432984 1
< 0.1%
75432912 1
< 0.1%
75432848 1
< 0.1%

Reactive power generator 0,Total accumulated [var]
Real number (ℝ)

High correlation 

Distinct5435
Distinct (%)20.7%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-302375.18
Minimum-308356
Maximum-297112
Zeros0
Zeros (%)0.0%
Negative26206
Negative (%)> 99.9%
Memory size1.4 MiB
2025-05-15T14:10:20.474409image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-308356
5-th percentile-307636
Q1-305507.5
median-301879
Q3-299958
95-th percentile-297268.25
Maximum-297112
Range11244
Interquartile range (IQR)5549.5

Descriptive statistics

Standard deviation3278.9695
Coefficient of variation (CV)-0.010844043
Kurtosis-1.1159127
Mean-302375.18
Median Absolute Deviation (MAD)2426.5
Skewness-0.26384745
Sum-7.924044 × 109
Variance10751641
MonotonicityDecreasing
2025-05-15T14:10:20.556256image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-299042 698
 
2.7%
-301962 446
 
1.7%
-307440 397
 
1.5%
-307636 393
 
1.5%
-300264 390
 
1.5%
-307483 368
 
1.4%
-300417 340
 
1.3%
-303823 324
 
1.2%
-299749 324
 
1.2%
-300095 322
 
1.2%
Other values (5425) 22204
84.7%
ValueCountFrequency (%)
-308356 79
0.3%
-308355 1
 
< 0.1%
-308352 157
0.6%
-308351 112
0.4%
-308349 1
 
< 0.1%
-308347 1
 
< 0.1%
-308345 1
 
< 0.1%
-308342 1
 
< 0.1%
-308340 1
 
< 0.1%
-308337 1
 
< 0.1%
ValueCountFrequency (%)
-297112 30
0.1%
-297113 1
 
< 0.1%
-297114 60
0.2%
-297115 1
 
< 0.1%
-297117 1
 
< 0.1%
-297120 1
 
< 0.1%
-297123 1
 
< 0.1%
-297125 1
 
< 0.1%
-297127 1
 
< 0.1%
-297128 1
 
< 0.1%

Reactive power generator 1, Total accumulated [var]
Real number (ℝ)

High correlation 

Distinct35
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean5057.8493
Minimum5040
Maximum5074
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:20.782099image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum5040
5-th percentile5041
Q15052
median5057
Q35066
95-th percentile5071
Maximum5074
Range34
Interquartile range (IQR)14

Descriptive statistics

Standard deviation9.455299
Coefficient of variation (CV)0.0018694307
Kurtosis-0.94508031
Mean5057.8493
Median Absolute Deviation (MAD)8
Skewness-0.13495297
Sum1.32546 × 108
Variance89.40268
MonotonicityDecreasing
2025-05-15T14:10:20.851023image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
5070 2065
 
7.9%
5071 1889
 
7.2%
5056 1737
 
6.6%
5059 1721
 
6.6%
5057 1529
 
5.8%
5052 1509
 
5.8%
5055 1250
 
4.8%
5049 1106
 
4.2%
5063 1075
 
4.1%
5040 1045
 
4.0%
Other values (25) 11280
43.0%
ValueCountFrequency (%)
5040 1045
4.0%
5041 563
2.1%
5042 356
 
1.4%
5043 370
 
1.4%
5044 555
2.1%
5045 628
2.4%
5046 98
 
0.4%
5047 332
 
1.3%
5048 775
3.0%
5049 1106
4.2%
ValueCountFrequency (%)
5074 337
 
1.3%
5073 402
 
1.5%
5072 320
 
1.2%
5071 1889
7.2%
5070 2065
7.9%
5069 127
 
0.5%
5068 319
 
1.2%
5067 964
3.7%
5066 731
 
2.8%
5065 457
 
1.7%

Reactive power generator 2, Total accumulated [var]
Real number (ℝ)

High correlation 

Distinct392
Distinct (%)1.5%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean6299.8684
Minimum6077
Maximum6471
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:20.925559image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum6077
5-th percentile6102
Q16213.25
median6316
Q36388
95-th percentile6461
Maximum6471
Range394
Interquartile range (IQR)174.75

Descriptive statistics

Standard deviation114.4985
Coefficient of variation (CV)0.018174745
Kurtosis-0.98811497
Mean6299.8684
Median Absolute Deviation (MAD)84
Skewness-0.41771622
Sum1.6509435 × 108
Variance13109.907
MonotonicityDecreasing
2025-05-15T14:10:21.007046image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6420 716
 
2.7%
6373 527
 
2.0%
6309 447
 
1.7%
6363 369
 
1.4%
6263 358
 
1.4%
6461 346
 
1.3%
6366 339
 
1.3%
6384 332
 
1.3%
6328 331
 
1.3%
6077 310
 
1.2%
Other values (382) 22131
84.4%
ValueCountFrequency (%)
6077 310
1.2%
6078 41
 
0.2%
6079 38
 
0.1%
6080 11
 
< 0.1%
6081 87
 
0.3%
6082 1
 
< 0.1%
6083 5
 
< 0.1%
6084 3
 
< 0.1%
6085 72
 
0.3%
6086 59
 
0.2%
ValueCountFrequency (%)
6471 97
 
0.4%
6470 153
0.6%
6469 118
0.5%
6468 17
 
0.1%
6467 121
0.5%
6466 258
1.0%
6465 71
 
0.3%
6464 63
 
0.2%
6463 69
 
0.3%
6462 17
 
0.1%

Total reactive power [var]
Real number (ℝ)

High correlation 

Distinct5662
Distinct (%)21.6%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-291018.42
Minimum-297241
Maximum-285567
Zeros0
Zeros (%)0.0%
Negative26206
Negative (%)> 99.9%
Memory size1.4 MiB
2025-05-15T14:10:21.087264image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-297241
5-th percentile-296494
Q1-294242.75
median-290507
Q3-288504
95-th percentile-285736.5
Maximum-285567
Range11674
Interquartile range (IQR)5738.75

Descriptive statistics

Standard deviation3402.316
Coefficient of variation (CV)-0.011691068
Kurtosis-1.1120083
Mean-291018.42
Median Absolute Deviation (MAD)2517
Skewness-0.2685805
Sum-7.6264288 × 109
Variance11575754
MonotonicityDecreasing
2025-05-15T14:10:21.166331image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-287553 688
 
2.6%
-290598 412
 
1.6%
-288829 390
 
1.5%
-288989 337
 
1.3%
-288286 324
 
1.2%
-296494 293
 
1.1%
-290564 250
 
1.0%
-297235 242
 
0.9%
-290513 233
 
0.9%
-292508 218
 
0.8%
Other values (5652) 22819
87.1%
ValueCountFrequency (%)
-297241 64
 
0.2%
-297240 15
 
0.1%
-297239 1
 
< 0.1%
-297236 3
 
< 0.1%
-297235 242
0.9%
-297234 24
 
0.1%
-297232 1
 
< 0.1%
-297229 1
 
< 0.1%
-297227 1
 
< 0.1%
-297224 1
 
< 0.1%
ValueCountFrequency (%)
-285567 30
0.1%
-285569 1
 
< 0.1%
-285570 60
0.2%
-285571 1
 
< 0.1%
-285573 1
 
< 0.1%
-285575 1
 
< 0.1%
-285578 1
 
< 0.1%
-285580 1
 
< 0.1%
-285583 1
 
< 0.1%
-285584 1
 
< 0.1%

System Logs First Active Alarm No
Real number (ℝ)

High correlation  Zeros 

Distinct14
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean5.1247806
Minimum0
Maximum895
Zeros25632
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:21.227857image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum895
Range895
Interquartile range (IQR)0

Descriptive statistics

Standard deviation38.873317
Coefficient of variation (CV)7.5853621
Kurtosis176.07436
Mean5.1247806
Median Absolute Deviation (MAD)0
Skewness11.0841
Sum134300
Variance1511.1347
MonotonicityNot monotonic
2025-05-15T14:10:21.280029image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 25632
97.8%
220 290
 
1.1%
144 163
 
0.6%
353 33
 
0.1%
276 19
 
0.1%
329 19
 
0.1%
224 15
 
0.1%
844 10
 
< 0.1%
315 7
 
< 0.1%
895 6
 
< 0.1%
Other values (4) 12
 
< 0.1%
ValueCountFrequency (%)
0 25632
97.8%
144 163
 
0.6%
182 1
 
< 0.1%
220 290
 
1.1%
224 15
 
0.1%
276 19
 
0.1%
309 3
 
< 0.1%
315 7
 
< 0.1%
329 19
 
0.1%
353 33
 
0.1%
ValueCountFrequency (%)
895 6
 
< 0.1%
844 10
 
< 0.1%
632 2
 
< 0.1%
356 6
 
< 0.1%
353 33
0.1%
329 19
0.1%
315 7
 
< 0.1%
309 3
 
< 0.1%
276 19
0.1%
224 15
0.1%

First Alarm parameter 1 in 10 min frame
Real number (ℝ)

High correlation  Zeros 

Distinct12
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.2466611
Minimum0
Maximum862
Zeros25999
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:21.330328image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum862
Range862
Interquartile range (IQR)0

Descriptive statistics

Standard deviation30.537806
Coefficient of variation (CV)13.592529
Kurtosis480.32059
Mean2.2466611
Median Absolute Deviation (MAD)0
Skewness19.582858
Sum58876
Variance932.55759
MonotonicityNot monotonic
2025-05-15T14:10:21.381088image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 25999
99.2%
251 154
 
0.6%
862 19
 
0.1%
259 9
 
< 0.1%
1 7
 
< 0.1%
77 6
 
< 0.1%
72 4
 
< 0.1%
81 3
 
< 0.1%
41 2
 
< 0.1%
164 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
0 25999
99.2%
1 7
 
< 0.1%
41 2
 
< 0.1%
72 4
 
< 0.1%
77 6
 
< 0.1%
81 3
 
< 0.1%
87 1
 
< 0.1%
164 1
 
< 0.1%
180 1
 
< 0.1%
251 154
 
0.6%
ValueCountFrequency (%)
862 19
 
0.1%
259 9
 
< 0.1%
251 154
0.6%
180 1
 
< 0.1%
164 1
 
< 0.1%
87 1
 
< 0.1%
81 3
 
< 0.1%
77 6
 
< 0.1%
72 4
 
< 0.1%
41 2
 
< 0.1%

First Alarm parameter 2 in 10 min frame
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct12
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.20651759
Minimum0
Maximum1084
Zeros26162
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:10:21.431984image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1084
Range1084
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.038674
Coefficient of variation (CV)48.609293
Kurtosis6878.2667
Mean0.20651759
Median Absolute Deviation (MAD)0
Skewness75.754794
Sum5412
Variance100.77498
MonotonicityNot monotonic
2025-05-15T14:10:21.484107image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 26162
99.8%
6 19
 
0.1%
216 7
 
< 0.1%
50 6
 
< 0.1%
45 4
 
< 0.1%
32 2
 
< 0.1%
490 1
 
< 0.1%
254 1
 
< 0.1%
766 1
 
< 0.1%
243 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
0 26162
99.8%
6 19
 
0.1%
32 2
 
< 0.1%
45 4
 
< 0.1%
50 6
 
< 0.1%
216 7
 
< 0.1%
243 1
 
< 0.1%
254 1
 
< 0.1%
405 1
 
< 0.1%
490 1
 
< 0.1%
ValueCountFrequency (%)
1084 1
 
< 0.1%
766 1
 
< 0.1%
490 1
 
< 0.1%
405 1
 
< 0.1%
254 1
 
< 0.1%
243 1
 
< 0.1%
216 7
< 0.1%
50 6
< 0.1%
45 4
< 0.1%
32 2
 
< 0.1%

missing_data
Boolean

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.2 MiB
False
26206 
True
 
2
ValueCountFrequency (%)
False 26206
> 99.9%
True 2
 
< 0.1%
2025-05-15T14:10:21.525383image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-05-15T14:10:21.671921image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Active power generator 0, Total accumulated [W]Active power generator 1, Total accumulated [W]Active power generator 2, Total accumulated [W]Active power limit [W]Active power limit sourceAmbient Temp. Avg. [°C]Ambient WindDir Absolute Avg. [°]Ambient WindDir Relative Avg. [°]Ambient WindSpeed Avg. [m/s]Ambient WindSpeed Max. [m/s]Ambient WindSpeed Min. [m/s]Ambient WindSpeed StdDev [m/s]Ambient ok hours [h]Avg. direction [°]Blades PitchAngle Avg. [°]Blades PitchAngle Max. [°]Blades PitchAngle Min. [°]Blades PitchAngle StdDev [°]Controller Ground Temp. Avg. [°C]Controller Hub Temp. Avg. [°C]Controller Top Temp. Avg. [°C]Controller VCP ChokecoilTemp. Avg. [°C]Controller VCP Temp. Avg. [°C]Controller VCP WaterTemp. Avg. [°C]First Alarm parameter 1 in 10 min frameFirst Alarm parameter 2 in 10 min frameGear Bearing TemperatureHSGeneratorEnd Avg. [°C]Gear Bearing TemperatureHSMiddle Avg. [°C]Gear Bearing TemperatureHSRotorEnd Avg. [°C]Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]Gear Bearing TemperatureHollowShaftRotor Avg. [°C]Gear Oil TemperatureBasis Avg. [°C]Gear Oil TemperatureLevel1 Avg. [°C]Generator 1 hours [h]Generator 2 hours [h]Generator Bearing Temp. Avg. [°C]Generator Bearing2 Temp. Avg. [°C]Generator CoolingWater Temp. Avg. [°C]Generator Phase1 Temp. Avg. [°C]Generator Phase2 Temp. Avg. [°C]Generator Phase3 Temp. Avg. [°C]Generator RPM Avg. [RPM]Generator RPM Max. [RPM]Generator RPM Min. [RPM]Generator RPM StdDev [RPM]Generator SlipRing Temp. Avg. [°C]Grid Busbar Temp. Avg. [°C]Grid InverterPhase1 Temp. Avg. [°C]Grid Production CosPhi Avg.Grid Production CurrentPhase1 Avg. [A]Grid Production CurrentPhase2 Avg. [A]Grid Production CurrentPhase3 Avg. [A]Grid Production Frequency Avg. [Hz]Grid Production PossiblePower Avg. [W]Grid Production PossiblePower Max. [W]Grid Production PossiblePower Min. [W]Grid Production PossiblePower StdDev [W]Grid Production Power Avg. [W]Grid Production Power Max. [W]Grid Production Power Min. [W]Grid Production Power StdDev [W]Grid Production ReactivePower Avg. [W]Grid Production ReactivePower Max. [W]Grid Production ReactivePower Min. [W]Grid Production ReactivePower StdDev [W]Grid Production VoltagePhase1 Avg. [V]Grid Production VoltagePhase2 Avg. [V]Grid Production VoltagePhase3 Avg. [V]Grid RotorInvPhase1 Temp. Avg. [°C]Grid RotorInvPhase2 Temp. Avg. [°C]Grid RotorInvPhase3 Temp. Avg. [°C]Grid ok hours [h]Grid on hours [h]HVTrafo AirOutlet Temp. Avg. [°C]HVTrafo Phase1 Temp. Avg. [°C]HVTrafo Phase2 Temp. Avg. [°C]HVTrafo Phase3 Temp. Avg. [°C]HourCounters Average AlarmActive Avg. [h]HourCounters Average AmbientOk Avg. [h]HourCounters Average Gen1 Avg. [h]HourCounters Average Gen2 Avg. [h]HourCounters Average GridOk Avg. [h]HourCounters Average GridOn Avg. [h]HourCounters Average Run Avg. [h]HourCounters Average ServiceOn Avg. [h]HourCounters Average TurbineOk Avg. [h]HourCounters Average WindOk Avg. [h]HourCounters Average Yaw Avg. [h]Hydraulic Oil Temp. Avg. [°C]Nacelle Temp. Avg. [°C]Power factor set pointPower factor set point sourceProduction LatestAverage Active Power Gen 0 Avg. [W]Production LatestAverage Active Power Gen 1 Avg. [W]Production LatestAverage Active Power Gen 2 Avg. [W]Production LatestAverage Reactive Power Gen 0 Avg. [var]Production LatestAverage Reactive Power Gen 1 Avg. [var]Production LatestAverage Reactive Power Gen 2 Avg. [var]Production LatestAverage Total Active Power Avg. [W]Production LatestAverage Total Reactive Power Avg. [var]Reactive power generator 0,Total accumulated [var]Reactive power generator 1, Total accumulated [var]Reactive power generator 2, Total accumulated [var]Rotor RPM Avg. [RPM]Rotor RPM Max. [RPM]Rotor RPM Min. [RPM]Rotor RPM StdDev [RPM]Run hours [h]Service hours [h]Spinner Temp. Avg. [°C]System Logs First Active Alarm NoTotal Active power [W]Total hour counter [h]Total reactive power [var]Turbine ok hours [h]Wind ok hours [h]Yaw hours [h]missing_data
Active power generator 0, Total accumulated [W]1.000-1.000-1.000-0.0290.000-0.685-0.177-0.0680.0500.0570.0470.046-1.000-0.1790.014-0.0080.0100.036-0.760-0.699-0.427-0.038-0.308-0.231-0.0090.0030.0180.0260.0310.0430.0450.040-0.067-1.000-1.000-0.125-0.135-0.302-0.030-0.025-0.0270.0480.0500.036-0.014-0.295-0.303-0.1470.0330.0400.0400.0410.0250.0630.0630.0710.0430.0740.0730.0360.0530.0550.066-0.0470.0170.0670.1710.044-0.130-0.167-0.143-1.000-1.000-0.117-0.274-0.249-0.2580.016-0.0190.028-0.011-0.036-0.002-0.0160.034-0.0310.041-0.0050.247-0.5100.0000.0000.0530.0500.0000.0530.0380.0290.0740.0631.0000.9991.0000.0450.0480.037-0.023-1.000-0.962-0.6840.016-1.000-1.0001.000-1.000-1.000-1.0001.000
Active power generator 1, Total accumulated [W]-1.0001.0001.0000.0290.0030.6840.1780.068-0.050-0.057-0.047-0.0461.0000.179-0.0140.008-0.010-0.0360.7590.6980.4270.0400.3080.2310.009-0.003-0.018-0.026-0.030-0.042-0.045-0.0390.0681.0001.0000.1250.1350.3030.0310.0260.028-0.048-0.050-0.0360.0140.2940.3030.148-0.032-0.040-0.040-0.0410.028-0.063-0.063-0.071-0.043-0.074-0.073-0.036-0.053-0.055-0.0650.047-0.018-0.068-0.172-0.0450.1300.1670.1431.0001.0000.1190.2750.2510.259-0.0160.019-0.0280.0110.0360.0020.016-0.0340.031-0.0410.005-0.2470.5100.0030.003-0.053-0.0500.000-0.052-0.038-0.029-0.074-0.062-1.000-0.999-1.000-0.044-0.048-0.0370.0221.0000.9620.682-0.0161.0001.000-1.0001.0001.0001.0001.000
Active power generator 2, Total accumulated [W]-1.0001.0001.0000.0300.0000.6850.1770.068-0.050-0.057-0.047-0.0461.0000.179-0.0130.008-0.010-0.0360.7600.6990.4270.0390.3080.2310.009-0.003-0.018-0.026-0.031-0.043-0.045-0.0400.0681.0001.0000.1250.1350.3030.0310.0260.028-0.048-0.050-0.0360.0140.2950.3030.148-0.033-0.040-0.040-0.0410.030-0.063-0.063-0.071-0.043-0.074-0.073-0.036-0.053-0.055-0.0660.047-0.018-0.067-0.172-0.0450.1300.1670.1431.0001.0000.1180.2740.2500.258-0.0160.019-0.0280.0110.0360.0020.016-0.0340.031-0.0410.005-0.2470.5100.0000.000-0.053-0.050-0.000-0.052-0.038-0.029-0.074-0.063-1.000-0.999-1.000-0.044-0.048-0.0370.0221.0000.9620.683-0.0161.0001.000-1.0001.0001.0001.0001.000
Active power limit [W]-0.0290.0290.0301.0000.707-0.0010.049-0.0390.0280.0290.0150.0300.0290.113-0.166-0.177-0.1650.1210.0330.0220.0180.1660.0690.099-0.164-0.0890.1690.1690.1690.1700.1700.1680.2050.0290.0300.1630.1560.1380.1560.1590.1570.1530.1490.1520.0940.1050.1210.1230.1630.1570.1590.1580.0000.0250.0270.0090.0550.1230.1260.0870.1550.1030.120-0.0470.0180.0280.0170.0050.1200.1180.1480.0290.0290.1170.1440.1470.148-0.5790.5870.0740.0920.6580.0550.580-0.6450.6170.0720.0870.1060.0690.7070.7070.1470.0720.0870.1340.022-0.0260.1230.107-0.029-0.027-0.0290.1550.1490.1540.0810.0290.029-0.013-0.5780.0300.029-0.0290.0290.0290.0291.000
Active power limit source0.0000.0030.0000.7071.0000.0000.0200.0000.0210.0260.0000.0380.0020.0210.0520.0530.0500.0000.0000.0000.0410.0130.2420.1450.0000.0000.0000.0000.0000.0230.0190.0000.0180.0000.0000.0290.0040.2490.0000.0000.0000.0000.0050.0000.0000.0210.0190.0350.0620.0000.0000.0000.0000.0110.0000.0000.0540.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0250.1070.0210.0020.0010.1020.0000.0180.0140.0000.4080.0000.0000.7070.7070.0400.0000.0540.0000.0000.0000.0110.5000.5000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0060.0000.0000.0000.0000.0000.0000.0060.0010.0000.0000.0020.0001.000
Ambient Temp. Avg. [°C]-0.6850.6840.685-0.0010.0001.0000.0560.065-0.128-0.131-0.121-0.1000.6850.0490.1310.1380.116-0.0320.8380.7950.706-0.0120.3950.200-0.0030.023-0.090-0.100-0.109-0.114-0.129-0.1190.0760.6840.6850.0780.0710.297-0.047-0.054-0.051-0.127-0.121-0.117-0.0470.5620.3250.104-0.129-0.113-0.113-0.1150.010-0.137-0.136-0.133-0.142-0.149-0.149-0.107-0.155-0.147-0.157-0.0000.032-0.096-0.161-0.0470.0820.1240.0940.6850.6850.1210.2700.2400.2470.013-0.002-0.098-0.001-0.014-0.006-0.0140.014-0.023-0.139-0.049-0.1820.7270.0000.000-0.154-0.092-0.022-0.152-0.022-0.044-0.149-0.133-0.685-0.682-0.685-0.125-0.119-0.119-0.0320.6850.6680.7930.0130.6850.685-0.6850.6850.6850.6851.000
Ambient WindDir Absolute Avg. [°]-0.1770.1780.1770.0490.0200.0561.000-0.0320.016-0.0060.024-0.0400.1780.862-0.095-0.069-0.113-0.0170.1760.123-0.0070.039-0.0050.023-0.055-0.0140.0380.0330.0370.0380.0440.0380.0490.1780.1770.0270.0230.0380.0240.0240.0230.0370.0080.081-0.030-0.0320.0390.0320.0780.0240.0250.0250.010-0.002-0.0220.018-0.0160.0240.0030.044-0.0000.089-0.0030.103-0.1070.0330.0090.0280.0230.0240.0240.1780.178-0.0080.0280.0150.024-0.1070.115-0.0100.0840.0900.0020.107-0.0950.0990.059-0.015-0.0550.0440.0200.0200.094-0.0240.0760.090-0.0120.0300.0240.067-0.178-0.176-0.1770.0420.0100.079-0.0310.1780.1700.106-0.1070.1780.178-0.1770.1780.1780.1781.000
Ambient WindDir Relative Avg. [°]-0.0680.0680.068-0.0390.0000.065-0.0321.000-0.009-0.001-0.0400.0380.068-0.026-0.003-0.0190.0220.0290.0720.0680.029-0.0070.0350.0240.0050.033-0.016-0.015-0.017-0.020-0.021-0.017-0.0020.0680.0680.0140.0110.023-0.002-0.003-0.003-0.019-0.003-0.0400.0720.0080.0110.007-0.025-0.023-0.025-0.0250.000-0.0060.008-0.0410.047-0.021-0.006-0.0460.025-0.0220.043-0.0480.0310.013-0.0010.0170.0100.0150.0070.0680.068-0.0090.0050.0060.0060.059-0.049-0.0170.011-0.063-0.006-0.0600.067-0.076-0.0090.110-0.0270.0370.0000.000-0.017-0.0280.020-0.019-0.016-0.045-0.021-0.024-0.068-0.067-0.068-0.018-0.003-0.0400.0690.0680.0680.0700.0600.0680.068-0.0680.0680.0680.0681.000
Ambient WindSpeed Avg. [m/s]0.050-0.050-0.0500.0280.021-0.1280.016-0.0091.0000.9770.9400.809-0.0500.007-0.510-0.581-0.4000.338-0.150-0.3880.2470.7970.3670.7510.1260.0120.9420.9330.9450.9260.9120.9340.594-0.050-0.0500.7700.8230.6610.9170.9170.9180.9440.9280.8740.3010.3520.6770.8440.7150.9510.9500.9500.0000.9940.9770.9060.8140.9540.9400.8760.7940.6460.7380.246-0.1590.3880.3630.4340.8730.8260.857-0.050-0.0500.5890.7380.7450.7460.033-0.0380.811-0.2870.0500.004-0.033-0.0460.0390.8120.161-0.1280.3180.0210.0210.6750.839-0.1650.6760.3320.2100.9540.7120.0500.0490.0500.9400.9280.8770.264-0.050-0.078-0.3960.032-0.050-0.0500.050-0.050-0.050-0.0501.000
Ambient WindSpeed Max. [m/s]0.057-0.057-0.0570.0290.026-0.131-0.006-0.0010.9771.0000.8750.892-0.057-0.017-0.473-0.589-0.3350.398-0.147-0.3840.2460.7880.3640.7420.1280.0150.9270.9200.9290.9090.8940.9200.580-0.057-0.0570.7670.8250.6580.9070.9080.9080.9290.9370.8200.3540.3460.6800.8320.6850.9370.9360.9360.0000.9790.9850.8550.8510.9370.9460.8260.8290.6020.7570.181-0.1010.3810.3620.4360.8610.8160.845-0.057-0.0570.5950.7410.7480.7500.037-0.0430.805-0.3030.0450.001-0.037-0.0420.0340.7820.233-0.1300.3250.0260.0260.6380.836-0.1740.6390.3250.1610.9370.6770.0570.0560.0570.9220.9370.8250.316-0.057-0.089-0.3890.036-0.057-0.0570.057-0.057-0.057-0.0571.000
Ambient WindSpeed Min. [m/s]0.047-0.047-0.0470.0150.000-0.1210.024-0.0400.9400.8751.0000.610-0.0470.016-0.495-0.488-0.4700.178-0.158-0.3740.2260.7330.3290.6910.1190.0000.8740.8610.8770.8610.8490.8650.555-0.047-0.0470.6980.7400.6040.8440.8430.8440.8770.8240.8910.1520.3290.6080.7810.6780.8820.8820.8830.0120.9250.8770.9360.6610.8890.8440.9000.6430.6510.6230.332-0.2360.3580.3270.3860.8070.7640.792-0.047-0.0470.5260.6670.6740.6740.031-0.0380.748-0.2670.0460.009-0.031-0.0420.0370.7690.019-0.1160.2760.0000.0000.6470.776-0.1740.6470.3390.2980.8890.7020.0470.0460.0470.8750.8270.8900.122-0.047-0.065-0.3850.030-0.047-0.0470.047-0.047-0.047-0.0471.000
Ambient WindSpeed StdDev [m/s]0.046-0.046-0.0460.0300.038-0.100-0.0400.0380.8090.8920.6101.000-0.046-0.048-0.275-0.488-0.0740.538-0.103-0.3130.2380.6820.3360.6500.1300.0220.7800.7810.7790.7610.7380.7760.516-0.046-0.0460.6810.7420.5890.7790.7800.7800.7800.8460.5890.4480.3140.6280.7160.4950.7890.7880.7860.0000.8260.8800.6280.8280.7830.8390.6020.8090.3970.696-0.0170.0740.3090.3040.3740.7380.7040.727-0.046-0.0460.5530.6790.6850.6870.047-0.0500.698-0.3250.037-0.005-0.047-0.0350.0270.5880.368-0.1360.3340.0380.0380.4430.742-0.1990.4450.2930.0180.7830.4990.0460.0450.0460.7700.8420.6000.408-0.046-0.083-0.3060.046-0.046-0.0460.046-0.046-0.046-0.0461.000
Ambient ok hours [h]-1.0001.0001.0000.0290.0020.6850.1780.068-0.050-0.057-0.047-0.0461.0000.179-0.0130.008-0.010-0.0360.7590.6990.4270.0390.3080.2310.009-0.003-0.018-0.026-0.031-0.043-0.045-0.0400.0681.0001.0000.1250.1350.3030.0310.0260.028-0.048-0.050-0.0360.0140.2950.3030.148-0.033-0.040-0.040-0.0410.029-0.063-0.063-0.071-0.043-0.074-0.073-0.036-0.053-0.055-0.0660.047-0.018-0.067-0.172-0.0450.1300.1670.1431.0001.0000.1180.2740.2500.258-0.0160.019-0.0280.0110.0360.0020.016-0.0340.031-0.0410.005-0.2470.5100.0020.002-0.053-0.050-0.000-0.052-0.038-0.029-0.074-0.062-1.000-0.999-1.000-0.044-0.048-0.0370.0221.0000.9620.683-0.0161.0001.000-1.0001.0001.0001.0001.000
Avg. direction [°]-0.1790.1790.1790.1130.0210.0490.862-0.0260.007-0.0170.016-0.0480.1791.000-0.083-0.057-0.102-0.0280.1650.129-0.0030.036-0.0130.014-0.057-0.0210.0350.0300.0350.0350.0400.0360.0400.1790.1790.0180.0180.0310.0170.0180.0170.0330.0020.076-0.039-0.0320.0390.0220.0700.0200.0210.0210.012-0.010-0.0300.016-0.0270.0210.0000.040-0.0040.074-0.0090.080-0.0800.0360.0080.0280.0140.0140.0170.1790.1790.0000.0310.0180.027-0.1270.124-0.0030.0640.1050.0160.128-0.1110.1190.050-0.027-0.0520.0440.0210.0210.079-0.0170.0580.076-0.0110.0380.0210.056-0.179-0.178-0.1790.0370.0040.073-0.0370.1790.1710.115-0.1270.1790.179-0.1790.1790.1790.1791.000
Blades PitchAngle Avg. [°]0.014-0.014-0.013-0.1660.0520.131-0.095-0.003-0.510-0.473-0.495-0.275-0.013-0.0831.0000.8780.9260.0770.0470.1810.076-0.415-0.078-0.3230.1500.068-0.548-0.530-0.561-0.532-0.568-0.541-0.149-0.014-0.013-0.378-0.378-0.238-0.488-0.489-0.490-0.572-0.515-0.557-0.371-0.014-0.228-0.438-0.721-0.563-0.564-0.5640.000-0.506-0.479-0.448-0.590-0.562-0.531-0.531-0.610-0.690-0.522-0.3950.423-0.321-0.298-0.344-0.447-0.391-0.427-0.013-0.013-0.206-0.252-0.259-0.2720.250-0.230-0.350-0.223-0.182-0.010-0.2500.180-0.190-0.730-0.079-0.0420.0510.0520.052-0.717-0.230-0.327-0.7150.025-0.159-0.562-0.5530.0130.0150.014-0.576-0.516-0.559-0.352-0.0130.0000.2390.250-0.013-0.0130.013-0.013-0.013-0.0131.000
Blades PitchAngle Max. [°]-0.0080.0080.008-0.1770.0530.138-0.069-0.019-0.581-0.589-0.488-0.4880.008-0.0570.8781.0000.748-0.2100.0570.2180.025-0.526-0.151-0.4020.1450.056-0.625-0.608-0.638-0.598-0.616-0.617-0.2550.0080.008-0.458-0.467-0.303-0.572-0.573-0.574-0.655-0.638-0.548-0.439-0.075-0.314-0.540-0.761-0.644-0.643-0.6430.000-0.584-0.600-0.440-0.752-0.639-0.652-0.519-0.775-0.675-0.595-0.3450.372-0.325-0.313-0.344-0.528-0.468-0.5060.0080.008-0.303-0.340-0.347-0.3600.251-0.232-0.390-0.219-0.190-0.009-0.2510.188-0.196-0.779-0.2410.001-0.0210.0530.053-0.737-0.308-0.352-0.7350.000-0.072-0.639-0.575-0.008-0.008-0.007-0.645-0.638-0.556-0.4070.0080.0290.2700.2510.0080.008-0.0080.0080.0080.0081.000
Blades PitchAngle Min. [°]0.010-0.010-0.010-0.1650.0500.116-0.1130.022-0.400-0.335-0.470-0.074-0.010-0.1020.9260.7481.0000.2390.0450.1510.097-0.333-0.054-0.2320.1500.070-0.436-0.415-0.448-0.427-0.461-0.429-0.108-0.010-0.010-0.270-0.260-0.148-0.375-0.376-0.377-0.456-0.356-0.523-0.1540.015-0.127-0.348-0.697-0.449-0.450-0.4510.000-0.392-0.334-0.427-0.393-0.450-0.388-0.528-0.413-0.734-0.381-0.5430.577-0.260-0.237-0.259-0.342-0.290-0.323-0.010-0.010-0.118-0.146-0.151-0.1620.252-0.232-0.214-0.323-0.184-0.012-0.2520.182-0.192-0.6590.035-0.0660.0940.0500.050-0.706-0.102-0.367-0.704-0.011-0.280-0.450-0.5730.0100.0110.011-0.460-0.359-0.521-0.142-0.010-0.0040.2140.252-0.010-0.0100.010-0.010-0.010-0.0101.000
Blades PitchAngle StdDev [°]0.036-0.036-0.0360.1210.000-0.032-0.0170.0290.3380.3980.1780.538-0.036-0.0280.077-0.2100.2391.000-0.029-0.1510.1440.4220.3130.336-0.051-0.0200.3800.3940.3690.3880.3550.3760.434-0.036-0.0360.3470.3870.2870.3920.3920.3920.3860.4880.2500.2550.2300.3150.3870.2420.3900.3890.3880.0000.3440.4290.0740.4310.3770.4590.1390.4540.2200.427-0.0180.0580.0960.1150.0770.3620.3450.357-0.036-0.0360.3030.3460.3460.348-0.1230.1120.2320.1440.1140.0090.123-0.1140.1170.2280.457-0.0810.2200.0000.0000.3090.3260.1250.3060.122-0.3990.3770.2870.0360.0390.0360.3750.4830.2590.210-0.036-0.055-0.165-0.121-0.036-0.0360.036-0.036-0.036-0.0361.000
Controller Ground Temp. Avg. [°C]-0.7600.7590.7600.0330.0000.8380.1760.072-0.150-0.147-0.158-0.1030.7590.1650.0470.0570.045-0.0291.0000.8710.517-0.0500.3490.181-0.0420.004-0.102-0.112-0.116-0.124-0.134-0.1250.0460.7590.7600.0760.0570.267-0.066-0.072-0.069-0.130-0.124-0.121-0.0130.3550.2640.088-0.094-0.120-0.122-0.1230.006-0.158-0.154-0.169-0.109-0.158-0.154-0.128-0.113-0.112-0.1340.017-0.006-0.110-0.164-0.0570.0660.1070.0780.7590.7590.0350.2140.1740.192-0.0530.060-0.1150.0580.039-0.0030.052-0.0400.036-0.121-0.004-0.1670.5880.0000.000-0.110-0.1300.033-0.111-0.066-0.064-0.158-0.125-0.760-0.756-0.760-0.126-0.123-0.121-0.0040.7590.7510.850-0.0520.7590.759-0.7600.7590.7590.7591.000
Controller Hub Temp. Avg. [°C]-0.6990.6980.6990.0220.0000.7950.1230.068-0.388-0.384-0.374-0.3130.6990.1290.1810.2180.151-0.1510.8711.0000.453-0.2820.231-0.020-0.0470.010-0.347-0.358-0.361-0.369-0.375-0.371-0.1430.6980.699-0.145-0.1760.088-0.315-0.323-0.319-0.369-0.359-0.347-0.0770.2660.076-0.133-0.287-0.366-0.366-0.3670.004-0.396-0.391-0.377-0.320-0.388-0.384-0.353-0.318-0.286-0.317-0.0700.066-0.198-0.247-0.149-0.161-0.110-0.1460.6990.699-0.105-0.043-0.085-0.068-0.0220.034-0.3080.0940.001-0.0040.022-0.002-0.003-0.319-0.067-0.1180.4770.0000.000-0.296-0.3310.053-0.294-0.150-0.101-0.388-0.313-0.699-0.696-0.699-0.365-0.358-0.348-0.0560.6990.6900.987-0.0210.6990.699-0.6990.6990.6990.6991.000
Controller Top Temp. Avg. [°C]-0.4270.4270.4270.0180.0410.706-0.0070.0290.2470.2460.2260.2380.427-0.0030.0760.0250.0970.1440.5170.4531.0000.3520.5680.5200.0400.0310.2800.2680.2550.2470.2180.2500.3570.4270.4270.4250.4330.5830.3390.3330.3360.2280.2380.2010.0290.7750.7020.4490.0850.2440.2430.2420.0150.2390.2400.2180.1390.2190.2210.2270.1200.0440.1240.0210.0500.0630.0030.1250.4410.4680.4450.4270.4270.5650.5720.5480.5550.051-0.0320.236-0.195-0.0170.001-0.0510.019-0.0290.1170.026-0.3020.9160.0410.0410.0410.282-0.1730.0450.1840.0380.2190.130-0.427-0.426-0.4270.2250.2390.2000.0330.4270.3690.4660.0510.4270.427-0.4270.4270.4270.4271.000
Controller VCP ChokecoilTemp. Avg. [°C]-0.0380.0400.0390.1660.013-0.0120.039-0.0070.7970.7880.7330.6820.0390.036-0.415-0.526-0.3330.422-0.050-0.2820.3521.0000.5350.762-0.043-0.0150.8660.8630.8570.8420.8210.8630.6850.0400.0390.7480.8270.6820.8900.8920.8920.8200.8020.7500.2210.4490.7440.8430.6640.8270.8270.8260.0110.7950.7910.7070.6780.8210.8140.7520.6860.6080.6090.290-0.2210.2870.2580.3160.8280.7950.8160.0390.0390.6950.7720.7760.780-0.1580.1490.621-0.1070.1550.0120.158-0.1530.1480.7070.189-0.1530.4450.0130.0130.6420.675-0.0190.6360.3140.1640.8210.665-0.038-0.038-0.0380.8140.8020.7540.1850.039-0.002-0.293-0.1580.0390.039-0.0380.0390.0390.0391.000
Controller VCP Temp. Avg. [°C]-0.3080.3080.3080.0690.2420.395-0.0050.0350.3670.3640.3290.3360.308-0.013-0.078-0.151-0.0540.3130.3490.2310.5680.5351.0000.613-0.0100.0230.4210.4150.4070.4050.3800.4080.5660.3080.3080.5060.5350.5470.4670.4620.4650.3720.3700.3510.0550.6370.5830.5480.2860.3800.3790.3780.0090.3590.3610.2920.2820.3640.3630.3490.2670.2770.2730.179-0.1250.1060.0750.1420.5310.5390.5250.3080.3080.5150.5290.5120.521-0.0070.0250.278-0.0280.0160.0020.007-0.0130.0010.2810.123-0.2150.6070.2420.2420.2900.327-0.0310.2820.2030.0360.3640.327-0.308-0.304-0.3080.3690.3700.3530.0370.3080.2580.231-0.0070.3080.308-0.3080.3080.3080.3081.000
Controller VCP WaterTemp. Avg. [°C]-0.2310.2310.2310.0990.1450.2000.0230.0240.7510.7420.6910.6500.2310.014-0.323-0.402-0.2320.3360.181-0.0200.5200.7620.6131.000-0.0340.0180.8050.7990.7910.7790.7590.7900.6280.2310.2310.8010.8440.9530.8640.8590.8620.7640.7530.7080.1950.5280.8340.9460.5310.7660.7660.7650.0160.7460.7450.6660.6340.7620.7560.7080.6220.4750.5890.166-0.0790.2920.2380.3640.9540.9720.9590.2310.2310.7080.8450.8370.842-0.0600.0820.703-0.3070.066-0.0020.060-0.0640.0510.5900.147-0.2510.6210.1450.1450.5000.736-0.2370.4970.3320.1300.7620.561-0.231-0.230-0.2310.7620.7540.7120.1680.2310.186-0.019-0.0600.2310.231-0.2310.2310.2310.2311.000
First Alarm parameter 1 in 10 min frame-0.0090.0090.009-0.1640.000-0.003-0.0550.0050.1260.1280.1190.1300.009-0.0570.1500.1450.150-0.051-0.042-0.0470.040-0.043-0.010-0.0341.0000.459-0.068-0.064-0.071-0.093-0.102-0.061-0.1040.0090.0090.0370.049-0.029-0.013-0.012-0.013-0.113-0.064-0.1260.0270.0260.029-0.055-0.104-0.086-0.090-0.0880.0000.1250.1030.112-0.072-0.087-0.071-0.105-0.067-0.136-0.070-0.0800.0830.0020.001-0.003-0.051-0.039-0.0470.0090.009-0.1160.0210.0260.0220.595-0.526-0.042-0.081-0.0220.001-0.593-0.006-0.108-0.100-0.001-0.0020.0010.0000.000-0.155-0.033-0.076-0.148-0.0660.020-0.087-0.125-0.009-0.009-0.009-0.114-0.065-0.1270.0270.0090.007-0.0320.5910.0090.009-0.0090.0090.0090.0091.000
First Alarm parameter 2 in 10 min frame0.003-0.003-0.003-0.0890.0000.023-0.0140.0330.0120.0150.0000.022-0.003-0.0210.0680.0560.070-0.0200.0040.0100.031-0.0150.0230.0180.4591.000-0.012-0.006-0.014-0.029-0.029-0.006-0.045-0.003-0.0030.0080.0040.0170.000-0.001-0.001-0.053-0.042-0.062-0.0060.0250.0130.010-0.052-0.052-0.052-0.0520.0000.0120.012-0.0020.006-0.034-0.030-0.036-0.041-0.033-0.0300.028-0.014-0.028-0.028-0.0270.0110.0160.012-0.003-0.003-0.0100.0030.0030.0030.273-0.042-0.022-0.033-0.0640.001-0.2720.004-0.251-0.009-0.0190.0030.0360.0000.000-0.046-0.019-0.028-0.043-0.027-0.005-0.034-0.0340.0030.0030.003-0.053-0.042-0.063-0.003-0.003-0.0050.0260.279-0.003-0.0030.003-0.003-0.003-0.0031.000
Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]0.018-0.018-0.0180.1690.000-0.0900.038-0.0160.9420.9270.8740.780-0.0180.035-0.548-0.625-0.4360.380-0.102-0.3470.2800.8660.4210.805-0.068-0.0121.0000.9930.9960.9850.9730.9930.683-0.018-0.0180.8200.8700.7290.9710.9720.9720.9760.9520.9060.2970.3960.7360.8920.7450.9780.9780.9780.0060.9410.9320.8500.8200.9760.9630.8930.8280.6760.7710.241-0.1580.3810.3540.4310.9190.8750.907-0.018-0.0180.6730.7950.7990.803-0.1850.1810.835-0.2680.1720.0080.185-0.1700.1630.8100.176-0.1250.3800.0000.0000.7180.859-0.1560.7130.3490.1940.9760.7430.0180.0180.0180.9740.9520.9100.261-0.018-0.048-0.364-0.185-0.018-0.0180.018-0.018-0.018-0.0181.000
Gear Bearing TemperatureHSMiddle Avg. [°C]0.026-0.026-0.0260.1690.000-0.1000.033-0.0150.9330.9200.8610.781-0.0260.030-0.530-0.608-0.4150.394-0.112-0.3580.2680.8630.4150.799-0.064-0.0060.9931.0000.9910.9850.9740.9910.682-0.026-0.0260.8170.8700.7230.9710.9710.9720.9700.9480.9000.2960.3840.7320.8800.7180.9680.9690.9690.0090.9320.9260.8340.8160.9670.9560.8780.8250.6590.7730.220-0.1340.3770.3520.4270.9110.8680.900-0.026-0.0260.6680.7950.8000.803-0.1820.1790.837-0.2770.1710.0060.182-0.1690.1600.7820.185-0.1230.3710.0000.0000.7020.862-0.1700.6970.3500.1740.9670.7310.0260.0250.0260.9690.9480.9050.260-0.026-0.055-0.374-0.182-0.026-0.0260.026-0.026-0.026-0.0261.000
Gear Bearing TemperatureHSRotorEnd Avg. [°C]0.031-0.030-0.0310.1690.000-0.1090.037-0.0170.9450.9290.8770.779-0.0310.035-0.561-0.638-0.4480.369-0.116-0.3610.2550.8570.4070.791-0.071-0.0140.9960.9911.0000.9850.9750.9930.683-0.030-0.0310.8080.8590.7100.9640.9650.9650.9790.9520.9080.2980.3740.7170.8820.7480.9810.9810.9810.0000.9440.9340.8570.8250.9790.9650.8980.8330.6770.7680.243-0.1610.3830.3580.4310.9100.8630.897-0.031-0.0310.6590.7790.7850.788-0.1830.1790.836-0.2700.1680.0070.183-0.1660.1600.8170.170-0.1160.3550.0000.0000.7190.857-0.1540.7140.3450.2010.9790.7420.0310.0300.0300.9770.9520.9130.261-0.031-0.059-0.379-0.183-0.030-0.0310.031-0.031-0.031-0.0311.000
Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]0.043-0.042-0.0430.1700.023-0.1140.038-0.0200.9260.9090.8610.761-0.0430.035-0.532-0.598-0.4270.388-0.124-0.3690.2470.8420.4050.779-0.093-0.0290.9850.9850.9851.0000.9850.9840.686-0.042-0.0430.7970.8500.7030.9560.9570.9570.9720.9410.9190.2580.3680.7050.8600.7330.9680.9690.9690.0000.9250.9150.8320.8090.9670.9510.8850.8200.6800.7770.240-0.1540.3770.3540.4230.8970.8530.886-0.043-0.0430.6520.7720.7780.781-0.2020.1930.841-0.2670.1720.0100.202-0.1700.1690.7750.178-0.1110.3490.0230.0230.7240.865-0.1730.7190.3510.1860.9670.7480.0430.0420.0420.9730.9410.9220.222-0.043-0.070-0.387-0.202-0.042-0.0430.043-0.043-0.043-0.0431.000
Gear Bearing TemperatureHollowShaftRotor Avg. [°C]0.045-0.045-0.0450.1700.019-0.1290.044-0.0210.9120.8940.8490.738-0.0450.040-0.568-0.616-0.4610.355-0.134-0.3750.2180.8210.3800.759-0.102-0.0290.9730.9740.9750.9851.0000.9750.668-0.045-0.0450.7820.8330.6840.9420.9430.9430.9620.9280.9130.2640.3360.6810.8380.7280.9550.9560.9560.0000.9110.9000.8190.8040.9550.9370.8760.8140.6810.7780.235-0.1540.3790.3550.4260.8780.8330.867-0.045-0.0450.6320.7520.7590.761-0.2060.1960.839-0.2650.1690.0090.205-0.1680.1670.7700.167-0.0990.3190.0190.0190.7230.851-0.1730.7180.3370.1810.9550.7400.0450.0440.0450.9650.9280.9170.230-0.045-0.073-0.395-0.205-0.045-0.0450.045-0.045-0.045-0.0451.000
Gear Oil TemperatureBasis Avg. [°C]0.040-0.039-0.0400.1680.000-0.1190.038-0.0170.9340.9200.8650.776-0.0400.036-0.541-0.617-0.4290.376-0.125-0.3710.2500.8630.4080.790-0.061-0.0060.9930.9910.9930.9840.9751.0000.686-0.039-0.0400.8120.8640.7110.9680.9690.9690.9670.9420.8970.2940.3670.7190.8750.7300.9680.9680.9680.0000.9340.9260.8430.8150.9660.9530.8840.8210.6640.7650.229-0.1480.3780.3540.4260.9040.8600.892-0.040-0.0400.6600.7840.7900.793-0.1750.1730.834-0.2760.1650.0070.174-0.1630.1550.7980.175-0.1160.3530.0000.0000.7070.856-0.1660.7020.3500.1910.9660.7340.0400.0390.0390.9650.9430.9010.259-0.040-0.067-0.388-0.174-0.039-0.0400.040-0.040-0.039-0.0401.000
Gear Oil TemperatureLevel1 Avg. [°C]-0.0670.0680.0680.2050.0180.0760.049-0.0020.5940.5800.5550.5160.0680.040-0.149-0.255-0.1080.4340.046-0.1430.3570.6850.5660.628-0.104-0.0450.6830.6820.6830.6860.6680.6861.0000.0680.0680.6400.6830.5870.6800.6810.6800.6420.6310.6150.1160.4620.6060.6490.4230.6380.6380.6370.0040.5840.5860.5210.4620.6260.6230.5880.4720.4060.4610.159-0.0920.1900.1730.2040.6520.6400.6530.0680.0680.5580.6240.6220.622-0.2060.2220.518-0.1560.2050.0160.207-0.2020.2050.4350.152-0.1410.4530.0180.0180.4350.591-0.1380.4170.3340.0730.6260.498-0.067-0.065-0.0670.6390.6310.6170.0770.0680.044-0.150-0.2060.0680.068-0.0670.0680.0680.0681.000
Generator 1 hours [h]-1.0001.0001.0000.0290.0000.6840.1780.068-0.050-0.057-0.047-0.0461.0000.179-0.0140.008-0.010-0.0360.7590.6980.4270.0400.3080.2310.009-0.003-0.018-0.026-0.030-0.042-0.045-0.0390.0681.0001.0000.1250.1350.3030.0310.0260.028-0.048-0.050-0.0360.0140.2940.3030.148-0.032-0.040-0.040-0.0410.026-0.063-0.063-0.071-0.043-0.074-0.073-0.036-0.053-0.055-0.0650.047-0.018-0.068-0.172-0.0450.1300.1670.1431.0001.0000.1190.2750.2510.259-0.0160.019-0.0280.0110.0360.0020.016-0.0340.031-0.0410.005-0.2470.5100.0000.000-0.053-0.0500.000-0.052-0.038-0.029-0.074-0.062-1.000-0.999-1.000-0.044-0.048-0.0370.0221.0000.9620.682-0.0161.0001.000-1.0001.0001.0001.0001.000
Generator 2 hours [h]-1.0001.0001.0000.0300.0000.6850.1770.068-0.050-0.057-0.047-0.0461.0000.179-0.0130.008-0.010-0.0360.7600.6990.4270.0390.3080.2310.009-0.003-0.018-0.026-0.031-0.043-0.045-0.0400.0681.0001.0000.1250.1350.3030.0310.0260.028-0.048-0.050-0.0360.0140.2950.3030.148-0.033-0.040-0.040-0.0410.033-0.063-0.063-0.071-0.043-0.074-0.073-0.036-0.053-0.055-0.0660.047-0.018-0.067-0.172-0.0450.1300.1670.1431.0001.0000.1180.2740.2500.258-0.0160.019-0.0280.0110.0360.0020.016-0.0340.031-0.0410.005-0.2470.5100.0000.000-0.053-0.050-0.000-0.052-0.038-0.029-0.074-0.063-1.000-0.999-1.000-0.044-0.048-0.0370.0221.0000.9620.683-0.0161.0001.000-1.0001.0001.0001.0001.000
Generator Bearing Temp. Avg. [°C]-0.1250.1250.1250.1630.0290.0780.0270.0140.7700.7670.6980.6810.1250.018-0.378-0.458-0.2700.3470.076-0.1450.4250.7480.5060.8010.0370.0080.8200.8170.8080.7970.7820.8120.6400.1250.1251.0000.8960.7660.8600.8590.8600.7750.7740.7100.2720.4920.7970.8130.5410.7780.7780.7780.0170.7660.7680.6680.6680.7650.7670.6900.6680.4720.6240.118-0.0460.2920.2560.3490.8370.8250.8360.1250.1250.6770.8010.7960.804-0.0850.1000.708-0.2890.1510.0000.085-0.1500.1370.5940.172-0.1780.5190.0290.0290.5110.727-0.2080.5060.2990.1030.7650.551-0.125-0.127-0.1250.7740.7730.7140.2380.1250.089-0.152-0.0850.1250.125-0.1250.1250.1250.1251.000
Generator Bearing2 Temp. Avg. [°C]-0.1350.1350.1350.1560.0040.0710.0230.0110.8230.8250.7400.7420.1350.018-0.378-0.467-0.2600.3870.057-0.1760.4330.8270.5350.8440.0490.0040.8700.8700.8590.8500.8330.8640.6830.1350.1350.8961.0000.8070.9180.9180.9170.8260.8290.7530.2830.4930.8420.8610.5650.8280.8280.8270.0080.8200.8260.7110.7110.8160.8220.7320.7100.4980.6700.118-0.0370.3050.2640.3660.8830.8700.8820.1350.1350.7180.8630.8620.867-0.0790.0870.759-0.3200.1470.0010.078-0.1450.1340.6220.210-0.1940.5430.0040.0040.5360.785-0.2400.5310.3330.1080.8160.588-0.135-0.136-0.1350.8250.8290.7580.2480.1350.087-0.179-0.0790.1350.135-0.1350.1350.1350.1351.000
Generator CoolingWater Temp. Avg. [°C]-0.3020.3030.3030.1380.2490.2970.0380.0230.6610.6580.6040.5890.3030.031-0.238-0.303-0.1480.2870.2670.0880.5830.6820.5470.953-0.0290.0170.7290.7230.7100.7030.6840.7110.5870.3030.3030.7660.8071.0000.7980.7930.7950.6810.6790.6320.1920.5740.8520.8810.4110.6810.6820.6810.0260.6560.6580.5880.5510.6720.6700.6200.5470.3510.5260.0600.0300.2590.1970.3430.8960.9300.9120.3030.3030.7180.8510.8390.844-0.0990.1230.682-0.3790.123-0.0030.098-0.1220.1050.4690.129-0.2590.6970.2490.2490.3760.708-0.3190.3720.3260.0970.6720.458-0.302-0.302-0.3030.6810.6800.6340.1690.3030.2580.096-0.0980.3030.303-0.3030.3030.3030.3031.000
Generator Phase1 Temp. Avg. [°C]-0.0300.0310.0310.1560.000-0.0470.024-0.0020.9170.9070.8440.7790.0310.017-0.488-0.572-0.3750.392-0.066-0.3150.3390.8900.4670.864-0.0130.0000.9710.9710.9640.9560.9420.9680.6800.0310.0310.8600.9180.7981.0000.9990.9990.9330.9160.8640.2790.4280.8030.9230.6970.9360.9370.9360.0170.9170.9110.8170.7940.9330.9250.8510.7940.6290.7460.211-0.1290.3660.3320.4200.9450.9160.9370.0310.0310.7150.8560.8610.864-0.1180.1280.824-0.2910.1470.0020.117-0.1450.1350.7590.189-0.1630.4440.0000.0000.6700.848-0.1930.6660.3520.1720.9330.707-0.030-0.031-0.0310.9310.9160.8680.2440.031-0.005-0.326-0.1170.0310.031-0.0300.0310.0310.0311.000
Generator Phase2 Temp. Avg. [°C]-0.0250.0260.0260.1590.000-0.0540.024-0.0030.9170.9080.8430.7800.0260.018-0.489-0.573-0.3760.392-0.072-0.3230.3330.8920.4620.859-0.012-0.0010.9720.9710.9650.9570.9430.9690.6810.0260.0260.8590.9180.7930.9991.0000.9990.9330.9170.8640.2810.4230.8000.9190.6980.9360.9370.9370.0140.9170.9120.8170.7940.9330.9250.8500.7960.6290.7470.208-0.1270.3660.3330.4190.9410.9110.9330.0260.0260.7140.8540.8600.862-0.1210.1300.824-0.2910.1510.0030.120-0.1490.1390.7590.191-0.1590.4380.0000.0000.6700.848-0.1920.6660.3520.1720.9330.707-0.025-0.027-0.0260.9320.9170.8680.2460.026-0.009-0.333-0.1200.0260.026-0.0260.0260.0260.0261.000
Generator Phase3 Temp. Avg. [°C]-0.0270.0280.0280.1570.000-0.0510.023-0.0030.9180.9080.8440.7800.0280.017-0.490-0.574-0.3770.392-0.069-0.3190.3360.8920.4650.862-0.013-0.0010.9720.9720.9650.9570.9430.9690.6800.0280.0280.8600.9170.7950.9990.9991.0000.9340.9170.8640.2810.4250.8010.9210.6990.9370.9380.9370.0150.9170.9120.8180.7950.9340.9260.8510.7960.6300.7470.211-0.1290.3660.3330.4200.9440.9130.9350.0280.0280.7140.8540.8600.863-0.1190.1290.824-0.2900.1480.0020.118-0.1460.1370.7600.190-0.1610.4400.0000.0000.6710.848-0.1910.6670.3520.1720.9340.708-0.027-0.028-0.0270.9320.9180.8680.2460.028-0.007-0.330-0.1190.0280.028-0.0270.0280.0280.0281.000
Generator RPM Avg. [RPM]0.048-0.048-0.0480.1530.000-0.1270.037-0.0190.9440.9290.8770.780-0.0480.033-0.572-0.655-0.4560.386-0.130-0.3690.2280.8200.3720.764-0.113-0.0530.9760.9700.9790.9720.9620.9670.642-0.048-0.0480.7750.8260.6810.9330.9330.9341.0000.9670.9220.3070.3490.6800.8620.7480.9860.9860.9860.0000.9410.9360.8440.8370.9850.9730.8960.8480.6910.7810.249-0.1640.3920.3700.4380.8930.8430.879-0.048-0.0480.6410.7480.7540.757-0.2130.1970.833-0.2530.1680.0120.213-0.1660.1730.8030.188-0.1090.3240.0000.0000.7320.856-0.1390.7290.3400.1820.9850.7500.0480.0470.0480.9940.9680.9270.268-0.048-0.075-0.388-0.213-0.048-0.0480.048-0.048-0.048-0.0481.000
Generator RPM Max. [RPM]0.050-0.050-0.0500.1490.005-0.1210.008-0.0030.9280.9370.8240.846-0.0500.002-0.515-0.638-0.3560.488-0.124-0.3590.2380.8020.3700.753-0.064-0.0420.9520.9480.9520.9410.9280.9420.631-0.050-0.0500.7740.8290.6790.9160.9170.9170.9671.0000.8490.4410.3550.6850.8400.6780.9690.9690.9680.0000.9280.9520.7830.8670.9640.9860.8190.8830.6030.8080.129-0.0450.3870.3670.4410.8750.8290.863-0.050-0.0500.6360.7520.7570.760-0.1790.1620.826-0.2790.1640.0110.179-0.1620.1680.7560.273-0.1150.3370.0050.0050.6560.854-0.1530.6530.3290.0600.9640.6830.0500.0490.0500.9620.9990.8550.400-0.050-0.079-0.371-0.178-0.050-0.0500.050-0.050-0.050-0.0501.000
Generator RPM Min. [RPM]0.036-0.036-0.0360.1520.000-0.1170.081-0.0400.8740.8200.8910.589-0.0360.076-0.557-0.548-0.5230.250-0.121-0.3470.2010.7500.3510.708-0.126-0.0620.9060.9000.9080.9190.9130.8970.615-0.036-0.0360.7100.7530.6320.8640.8640.8640.9220.8491.0000.0810.3200.6230.7900.7140.9090.9100.9110.0000.8630.8250.8570.7020.9110.8650.9230.7120.7400.6900.369-0.2720.3610.3390.3870.8290.7860.819-0.036-0.0360.5870.6920.6960.699-0.2230.2050.801-0.2330.1670.0160.223-0.1650.1740.7240.062-0.1030.2860.0000.0000.7360.811-0.1950.7320.3620.2880.9110.7770.0360.0350.0350.9310.8520.9960.051-0.036-0.053-0.371-0.223-0.036-0.0360.036-0.036-0.036-0.0361.000
Generator RPM StdDev [RPM]-0.0140.0140.0140.0940.000-0.047-0.0300.0720.3010.3540.1520.4480.014-0.039-0.371-0.439-0.1540.255-0.013-0.0770.0290.2210.0550.1950.027-0.0060.2970.2960.2980.2580.2640.2940.1160.0140.0140.2720.2830.1920.2790.2810.2810.3070.4410.0811.0000.0830.1870.2050.1380.3130.3110.3100.0000.2990.3670.1190.4450.2960.3740.0800.4610.0190.393-0.2850.2880.1960.1750.2700.2390.2210.2360.0140.0140.1530.1920.1980.201-0.0800.0720.232-0.0740.120-0.0000.080-0.1190.1160.3010.3000.0190.0560.0000.0000.1080.1740.1060.099-0.018-0.2490.2950.054-0.014-0.014-0.0140.2920.4400.0870.9840.014-0.009-0.088-0.0800.0140.014-0.0140.0140.0140.0141.000
Generator SlipRing Temp. Avg. [°C]-0.2950.2940.2950.1050.0210.562-0.0320.0080.3520.3460.3290.3140.295-0.032-0.014-0.0750.0150.2300.3550.2660.7750.4490.6370.5280.0260.0250.3960.3840.3740.3680.3360.3670.4620.2940.2950.4920.4930.5740.4280.4230.4250.3490.3550.3200.0831.0000.6500.4940.1920.3610.3600.3590.0000.3410.3410.3080.2270.3370.3370.3260.2260.1530.2210.0580.0120.1070.0670.1590.4870.4950.4900.2950.2950.6310.5600.5420.549-0.0440.0540.310-0.1650.082-0.0060.043-0.0810.0660.2190.060-0.2190.7670.0210.0210.1620.360-0.1400.1590.2110.0370.3370.233-0.295-0.292-0.2950.3450.3560.3200.0740.2950.2430.281-0.0440.2950.295-0.2950.2950.2950.2951.000
Grid Busbar Temp. Avg. [°C]-0.3030.3030.3030.1210.0190.3250.0390.0110.6770.6800.6080.6280.3030.039-0.228-0.314-0.1270.3150.2640.0760.7020.7440.5830.8340.0290.0130.7360.7320.7170.7050.6810.7190.6060.3030.3030.7970.8420.8520.8030.8000.8010.6800.6850.6230.1870.6501.0000.8140.4110.6900.6900.6890.0130.6730.6790.5980.5690.6670.6730.6170.5630.3420.5060.0740.0140.2420.1920.3190.8270.8330.8300.3030.3030.8420.9340.9180.930-0.0590.0720.656-0.3530.1120.0020.058-0.1090.0960.4710.150-0.3040.7940.0190.0190.3670.694-0.2850.3640.3140.0990.6680.447-0.303-0.303-0.3030.6810.6850.6260.1640.3030.2530.085-0.0590.3030.303-0.3030.3030.3030.3031.000
Grid InverterPhase1 Temp. Avg. [°C]-0.1470.1480.1480.1230.0350.1040.0320.0070.8440.8320.7810.7160.1480.022-0.438-0.540-0.3480.3870.088-0.1330.4490.8430.5480.946-0.0550.0100.8920.8800.8820.8600.8380.8750.6490.1480.1480.8130.8610.8810.9230.9190.9210.8620.8400.7900.2050.4940.8141.0000.6880.8690.8700.8690.0240.8430.8360.7550.7220.8680.8560.8090.7140.6240.6440.295-0.2220.3230.2780.3730.9780.9650.9690.1480.1480.7050.8360.8320.838-0.1050.1250.708-0.1980.104-0.0010.105-0.1020.0900.7420.168-0.2150.5490.0350.0350.6480.752-0.1080.6470.3390.1800.8680.685-0.147-0.147-0.1480.8560.8410.7940.1720.1480.107-0.144-0.1050.1480.148-0.1470.1480.1480.1481.000
Grid Production CosPhi Avg.0.033-0.032-0.0330.1630.062-0.1290.078-0.0250.7150.6850.6780.495-0.0330.070-0.721-0.761-0.6970.242-0.094-0.2870.0850.6640.2860.531-0.104-0.0520.7450.7180.7480.7330.7280.7300.423-0.032-0.0330.5410.5650.4110.6970.6980.6990.7480.6780.7140.1380.1920.4110.6881.0000.7650.7650.7660.0000.7170.6760.6420.6610.7650.7230.7250.6780.8770.6190.579-0.5910.3040.2860.3060.6610.6000.637-0.033-0.0330.3780.4530.4600.467-0.2100.1970.4610.2430.1690.0100.210-0.1710.1820.8660.152-0.0240.1320.0620.0620.9150.4490.3050.9180.1380.3070.7650.7980.0330.0330.0320.7400.6790.7190.109-0.033-0.056-0.337-0.210-0.033-0.0330.033-0.033-0.033-0.0331.000
Grid Production CurrentPhase1 Avg. [A]0.040-0.040-0.0400.1570.000-0.1130.024-0.0230.9510.9370.8820.789-0.0400.020-0.563-0.644-0.4490.390-0.120-0.3660.2440.8270.3800.766-0.086-0.0520.9780.9680.9810.9680.9550.9680.638-0.040-0.0400.7780.8280.6810.9360.9360.9370.9860.9690.9090.3130.3610.6900.8690.7651.0001.0001.0000.0140.9510.9440.8600.8310.9890.9780.9030.8450.6820.7800.243-0.1610.3820.3600.4290.8970.8460.883-0.040-0.0400.6390.7610.7660.769-0.1990.1800.830-0.2530.1720.0110.199-0.1700.1780.8230.185-0.1120.3380.0000.0000.7220.858-0.1310.7200.3420.1890.9890.7460.0400.0390.0400.9820.9690.9140.279-0.040-0.068-0.386-0.198-0.040-0.0400.040-0.040-0.040-0.0401.000
Grid Production CurrentPhase2 Avg. [A]0.040-0.040-0.0400.1590.000-0.1130.025-0.0250.9500.9360.8820.788-0.0400.021-0.564-0.643-0.4500.389-0.122-0.3660.2430.8270.3790.766-0.090-0.0520.9780.9690.9810.9690.9560.9680.638-0.040-0.0400.7780.8280.6820.9370.9370.9380.9860.9690.9100.3110.3600.6900.8700.7651.0001.0001.0000.0030.9510.9430.8600.8310.9900.9780.9040.8450.6830.7800.243-0.1610.3830.3600.4300.8980.8470.883-0.040-0.0400.6390.7610.7660.769-0.2000.1810.832-0.2540.1710.0110.200-0.1690.1770.8230.184-0.1120.3370.0000.0000.7230.860-0.1340.7210.3420.1890.9900.7470.0400.0390.0400.9820.9690.9150.277-0.040-0.068-0.386-0.200-0.040-0.0400.040-0.040-0.040-0.0401.000
Grid Production CurrentPhase3 Avg. [A]0.041-0.041-0.0410.1580.000-0.1150.025-0.0250.9500.9360.8830.786-0.0410.021-0.564-0.643-0.4510.388-0.123-0.3670.2420.8260.3780.765-0.088-0.0520.9780.9690.9810.9690.9560.9680.637-0.041-0.0410.7780.8270.6810.9360.9370.9370.9860.9680.9110.3100.3590.6890.8690.7661.0001.0001.0000.0110.9510.9430.8610.8300.9900.9770.9040.8450.6850.7800.245-0.1630.3830.3600.4290.8970.8460.882-0.041-0.0410.6390.7600.7650.768-0.2010.1820.832-0.2530.1730.0110.201-0.1710.1790.8230.183-0.1120.3360.0000.0000.7240.860-0.1330.7220.3420.1910.9900.7480.0410.0400.0410.9820.9680.9150.276-0.041-0.069-0.388-0.200-0.041-0.0410.041-0.041-0.041-0.0411.000
Grid Production Frequency Avg. [Hz]0.0250.0280.0300.0000.0000.0100.0100.0000.0000.0000.0120.0000.0290.0120.0000.0000.0000.0000.0060.0040.0150.0110.0090.0160.0000.0000.0060.0090.0000.0000.0000.0000.0040.0260.0330.0170.0080.0260.0170.0140.0150.0000.0000.0000.0000.0000.0130.0240.0000.0140.0030.0111.0000.0090.0100.0110.0000.0140.0080.0110.0000.0000.0000.0000.0000.0000.0000.0000.0190.0240.0230.0290.0300.0000.0170.0180.0160.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0070.0000.0000.0000.0110.0000.0000.0000.0000.0120.0000.0240.0300.0330.0000.0000.0000.0000.0290.0240.0060.0000.0280.0300.0250.0290.0270.0311.000
Grid Production PossiblePower Avg. [W]0.063-0.063-0.0630.0250.011-0.137-0.002-0.0060.9940.9790.9250.826-0.063-0.010-0.506-0.584-0.3920.344-0.158-0.3960.2390.7950.3590.7460.1250.0120.9410.9320.9440.9250.9110.9340.584-0.063-0.0630.7660.8200.6560.9170.9170.9170.9410.9280.8630.2990.3410.6730.8430.7170.9510.9510.9510.0091.0000.9840.9080.8230.9560.9440.8730.8020.6440.7440.240-0.1540.3860.3640.4340.8710.8230.854-0.063-0.0630.5880.7360.7430.7440.034-0.0400.814-0.2930.0460.001-0.034-0.0430.0360.8110.160-0.1250.3120.0110.0110.6730.842-0.1680.6750.3310.2080.9560.7100.0620.0610.0620.9360.9280.8670.264-0.063-0.089-0.4040.033-0.063-0.0630.062-0.063-0.063-0.0631.000
Grid Production PossiblePower Max. [W]0.063-0.063-0.0630.0270.000-0.136-0.0220.0080.9770.9850.8770.880-0.063-0.030-0.479-0.600-0.3340.429-0.154-0.3910.2400.7910.3610.7450.1030.0120.9320.9260.9340.9150.9000.9260.586-0.063-0.0630.7680.8260.6580.9110.9120.9120.9360.9520.8250.3670.3410.6790.8360.6760.9440.9430.9430.0100.9841.0000.8500.8750.9470.9630.8260.8520.6010.7720.171-0.0850.3850.3660.4370.8660.8200.849-0.063-0.0630.6020.7420.7490.7510.032-0.0350.813-0.3020.0360.009-0.031-0.0330.0270.7830.235-0.1350.3210.0000.0000.6390.843-0.1710.6400.3290.1160.9470.6780.0630.0620.0630.9300.9510.8310.329-0.063-0.093-0.3960.031-0.063-0.0630.063-0.063-0.063-0.0631.000
Grid Production PossiblePower Min. [W]0.071-0.071-0.0710.0090.000-0.1330.018-0.0410.9060.8550.9360.628-0.0710.016-0.448-0.440-0.4270.074-0.169-0.3770.2180.7070.2920.6660.112-0.0020.8500.8340.8570.8320.8190.8430.521-0.071-0.0710.6680.7110.5880.8170.8170.8180.8440.7830.8570.1190.3080.5980.7550.6420.8600.8600.8610.0110.9080.8501.0000.6230.8660.8140.9340.6060.6050.5730.306-0.2130.3330.3080.3760.7810.7390.767-0.071-0.0710.5290.6590.6650.6640.029-0.0360.765-0.3770.0410.011-0.028-0.0390.0340.741-0.045-0.1110.2720.0000.0000.5700.790-0.2760.5710.3860.4300.8660.6730.0710.0690.0710.8390.7850.8580.096-0.071-0.089-0.3790.027-0.071-0.0710.071-0.071-0.071-0.0711.000
Grid Production PossiblePower StdDev [W]0.043-0.043-0.0430.0550.054-0.142-0.0160.0470.8140.8510.6610.828-0.043-0.027-0.590-0.752-0.3930.431-0.109-0.3200.1390.6780.2820.634-0.0720.0060.8200.8160.8250.8090.8040.8150.462-0.043-0.0430.6680.7110.5510.7940.7940.7950.8370.8670.7020.4450.2270.5690.7220.6610.8310.8310.8300.0000.8230.8750.6231.0000.8350.8800.6570.9720.5790.7740.140-0.0970.3720.3600.4230.7550.7070.738-0.043-0.0430.5410.6210.6290.635-0.0650.0680.716-0.1880.025-0.0020.064-0.0220.0200.7400.339-0.1160.2240.0540.0540.6420.695-0.0570.6430.2030.0370.8350.6090.0430.0410.0420.8350.8660.7100.407-0.043-0.074-0.333-0.064-0.043-0.0430.043-0.043-0.043-0.0431.000
Grid Production Power Avg. [W]0.074-0.074-0.0740.1230.000-0.1490.024-0.0210.9540.9370.8890.783-0.0740.021-0.562-0.639-0.4500.377-0.158-0.3880.2190.8210.3640.762-0.087-0.0340.9760.9670.9790.9670.9550.9660.626-0.074-0.0740.7650.8160.6720.9330.9330.9340.9850.9640.9110.2960.3370.6670.8680.7650.9890.9900.9900.0140.9560.9470.8660.8351.0000.9850.9060.8440.7030.7860.264-0.1770.3920.3710.4380.8950.8430.878-0.074-0.0740.6260.7330.7390.742-0.1640.1520.832-0.2540.1250.0100.164-0.1240.1280.8300.166-0.1080.3090.0000.0000.7400.859-0.1310.7370.3420.2001.0000.7630.0740.0730.0740.9810.9650.9150.262-0.074-0.099-0.403-0.163-0.074-0.0740.074-0.074-0.074-0.0741.000
Grid Production Power Max. [W]0.073-0.073-0.0730.1260.000-0.1490.003-0.0060.9400.9460.8440.839-0.0730.000-0.531-0.652-0.3880.459-0.154-0.3840.2210.8140.3630.756-0.071-0.0300.9630.9560.9650.9510.9370.9530.623-0.073-0.0730.7670.8220.6700.9250.9250.9260.9730.9860.8650.3740.3370.6730.8560.7230.9780.9780.9770.0080.9440.9630.8140.8800.9851.0000.8510.8910.6510.8100.188-0.1030.3900.3710.4390.8840.8340.868-0.073-0.0730.6320.7380.7450.747-0.1540.1420.827-0.2640.1270.0090.154-0.1250.1290.7980.245-0.1130.3150.0000.0000.6980.855-0.1360.6950.3340.1130.9840.7220.0730.0720.0730.9680.9860.8710.338-0.073-0.101-0.396-0.154-0.073-0.0730.073-0.073-0.073-0.0731.000
Grid Production Power Min. [W]0.036-0.036-0.0360.0870.000-0.1070.044-0.0460.8760.8260.9000.602-0.0360.040-0.531-0.519-0.5280.139-0.128-0.3530.2270.7520.3490.708-0.105-0.0360.8930.8780.8980.8850.8760.8840.588-0.036-0.0360.6900.7320.6200.8510.8500.8510.8960.8190.9230.0800.3260.6170.8090.7250.9030.9040.9040.0110.8730.8260.9340.6570.9060.8511.0000.6440.7440.6290.415-0.3330.3370.3110.3690.8260.7800.810-0.036-0.0360.5770.6850.6890.690-0.1420.1340.761-0.2670.0860.0140.142-0.0840.0890.774-0.003-0.1140.3020.0000.0000.6920.783-0.2030.6920.4360.4190.9060.7870.0360.0340.0360.8930.8200.9240.054-0.036-0.058-0.368-0.142-0.036-0.0360.036-0.036-0.036-0.0361.000
Grid Production Power StdDev [W]0.053-0.053-0.0530.1550.000-0.155-0.0000.0250.7940.8290.6430.809-0.053-0.004-0.610-0.775-0.4130.454-0.113-0.3180.1200.6860.2670.622-0.067-0.0410.8280.8250.8330.8200.8140.8210.472-0.053-0.0530.6680.7100.5470.7940.7960.7960.8480.8830.7120.4610.2260.5630.7140.6780.8450.8450.8450.0000.8020.8520.6060.9720.8440.8910.6441.0000.5800.7890.109-0.0680.3760.3650.4240.7460.6980.733-0.053-0.0530.5440.6180.6260.633-0.1840.1660.718-0.1670.1670.0080.184-0.1660.1710.7190.356-0.0810.2110.0000.0000.6540.696-0.0350.6510.1900.0240.8430.6090.0530.0520.0530.8460.8820.7210.424-0.053-0.081-0.338-0.184-0.053-0.0530.053-0.053-0.053-0.0531.000
Grid Production ReactivePower Avg. [W]0.055-0.055-0.0550.1030.000-0.1470.089-0.0220.6460.6020.6510.397-0.0550.074-0.690-0.675-0.7340.220-0.112-0.2860.0440.6080.2770.475-0.136-0.0330.6760.6590.6770.6800.6810.6640.406-0.055-0.0550.4720.4980.3510.6290.6290.6300.6910.6030.7400.0190.1530.3420.6240.8770.6820.6830.6850.0000.6440.6010.6050.5790.7030.6510.7440.5801.0000.5840.732-0.7400.2780.2660.2610.5970.5390.571-0.055-0.0550.3250.3820.3880.394-0.1820.1720.3880.3240.0990.0080.182-0.1010.1060.7630.128-0.0210.0890.0000.0000.9460.3760.2920.9500.2400.3690.7030.8870.0550.0550.0550.6890.6050.743-0.007-0.055-0.071-0.334-0.181-0.055-0.0550.055-0.055-0.055-0.0551.000
Grid Production ReactivePower Max. [W]0.066-0.065-0.0660.1200.000-0.157-0.0030.0430.7380.7570.6230.696-0.066-0.009-0.522-0.595-0.3810.427-0.134-0.3170.1240.6090.2730.589-0.070-0.0300.7710.7730.7680.7770.7780.7650.461-0.065-0.0660.6240.6700.5260.7460.7470.7470.7810.8080.6900.3930.2210.5060.6440.6190.7800.7800.7800.0000.7440.7720.5730.7740.7860.8100.6290.7890.5841.0000.024-0.0130.3630.3500.4230.6940.6560.684-0.066-0.0660.4730.5650.5740.577-0.1520.1400.726-0.1890.1240.0090.152-0.1230.1280.6320.460-0.0640.2030.0000.0000.6360.697-0.1220.6360.2790.0130.7860.6440.0660.0650.0650.7800.8070.6950.365-0.066-0.092-0.333-0.151-0.066-0.0660.066-0.066-0.066-0.0661.000
Grid Production ReactivePower Min. [W]-0.0470.0470.047-0.0470.000-0.0000.103-0.0480.2460.1810.332-0.0170.0470.080-0.395-0.345-0.543-0.0180.017-0.0700.0210.2900.1790.166-0.0800.0280.2410.2200.2430.2400.2350.2290.1590.0470.0470.1180.1180.0600.2110.2080.2110.2490.1290.369-0.2850.0580.0740.2950.5790.2430.2430.2450.0000.2400.1710.3060.1400.2640.1880.4150.1090.7320.0241.000-0.8890.0790.0680.0170.2260.1860.1990.0470.0470.0620.0690.0690.075-0.0220.027-0.0720.522-0.0590.0020.0220.058-0.0660.450-0.210-0.0230.0160.0000.0000.651-0.0530.4450.6550.0740.4100.2640.579-0.047-0.046-0.0470.2470.1330.367-0.2960.0470.041-0.112-0.0220.0470.047-0.0470.0470.0470.0471.000
Grid Production ReactivePower StdDev [W]0.017-0.018-0.0180.0180.0000.032-0.1070.031-0.159-0.101-0.2360.074-0.018-0.0800.4230.3720.5770.058-0.0060.0660.050-0.221-0.125-0.0790.083-0.014-0.158-0.134-0.161-0.154-0.154-0.148-0.092-0.018-0.018-0.046-0.0370.030-0.129-0.127-0.129-0.164-0.045-0.2720.2880.0120.014-0.222-0.591-0.161-0.161-0.1630.000-0.154-0.085-0.213-0.097-0.177-0.103-0.333-0.068-0.740-0.013-0.8891.000-0.067-0.0600.005-0.138-0.098-0.111-0.018-0.0180.0250.0220.0220.0160.034-0.0500.179-0.6320.024-0.003-0.034-0.0230.029-0.4250.092-0.0060.0620.0000.000-0.6600.171-0.538-0.663-0.004-0.432-0.177-0.5450.0170.0160.018-0.161-0.047-0.2730.299-0.018-0.0140.1150.034-0.018-0.0180.017-0.018-0.018-0.0181.000
Grid Production VoltagePhase1 Avg. [V]0.067-0.068-0.0670.0280.000-0.0960.0330.0130.3880.3810.3580.309-0.0670.036-0.321-0.325-0.2600.096-0.110-0.1980.0630.2870.1060.2920.002-0.0280.3810.3770.3830.3770.3790.3780.190-0.068-0.0670.2920.3050.2590.3660.3660.3660.3920.3870.3610.1960.1070.2420.3230.3040.3820.3830.3830.0000.3860.3850.3330.3720.3920.3900.3370.3760.2780.3630.079-0.0671.0000.9690.9640.3490.3310.343-0.067-0.0670.2490.2640.2680.270-0.0500.0460.329-0.0820.0680.0060.050-0.0630.0680.3410.098-0.0280.0740.0000.0000.3110.313-0.0190.3010.1300.0560.3920.3020.0670.0690.0670.3930.3880.3610.185-0.067-0.069-0.209-0.051-0.067-0.0670.067-0.067-0.067-0.0671.000
Grid Production VoltagePhase2 Avg. [V]0.171-0.172-0.1720.0170.000-0.1610.009-0.0010.3630.3620.3270.304-0.1720.008-0.298-0.313-0.2370.115-0.164-0.2470.0030.2580.0750.2380.001-0.0280.3540.3520.3580.3540.3550.3540.173-0.172-0.1720.2560.2640.1970.3320.3330.3330.3700.3670.3390.1750.0670.1920.2780.2860.3600.3600.3600.0000.3640.3660.3080.3600.3710.3710.3110.3650.2660.3500.068-0.0600.9691.0000.9340.3060.2830.297-0.172-0.1720.2200.2150.2190.222-0.0410.0320.309-0.0690.0490.0040.041-0.0450.0500.3180.1020.0070.0140.0000.0000.2990.294-0.0140.2890.1200.0370.3710.2860.1710.1730.1710.3710.3670.3400.162-0.172-0.165-0.255-0.042-0.172-0.1720.172-0.172-0.172-0.1721.000
Grid Production VoltagePhase3 Avg. [V]0.044-0.045-0.0450.0050.000-0.0470.0280.0170.4340.4360.3860.374-0.0450.028-0.344-0.344-0.2590.077-0.057-0.1490.1250.3160.1420.364-0.003-0.0270.4310.4270.4310.4230.4260.4260.204-0.045-0.0450.3490.3660.3430.4200.4190.4200.4380.4410.3870.2700.1590.3190.3730.3060.4290.4300.4290.0000.4340.4370.3760.4230.4380.4390.3690.4240.2610.4230.0170.0050.9640.9341.0000.4110.3990.407-0.045-0.0450.3070.3340.3340.339-0.0330.0250.420-0.1880.0360.0040.033-0.0310.0370.3640.107-0.0460.1500.0000.0000.2990.389-0.1070.2890.1480.0640.4380.3020.0440.0460.0440.4380.4420.3880.260-0.045-0.051-0.152-0.033-0.045-0.0450.045-0.045-0.045-0.0451.000
Grid RotorInvPhase1 Temp. Avg. [°C]-0.1300.1300.1300.1200.0250.0820.0230.0100.8730.8610.8070.7380.1300.014-0.447-0.528-0.3420.3620.066-0.1610.4410.8280.5310.954-0.0510.0110.9190.9110.9100.8970.8780.9040.6520.1300.1300.8370.8830.8960.9450.9410.9440.8930.8750.8290.2390.4870.8270.9780.6610.8970.8980.8970.0190.8710.8660.7810.7550.8950.8840.8260.7460.5970.6940.226-0.1380.3490.3060.4111.0000.9850.9910.1300.1300.7190.8550.8520.857-0.0990.1170.785-0.2900.0970.0010.098-0.0950.0830.7220.162-0.2130.5420.0250.0250.6280.816-0.1930.6260.3450.1720.8950.672-0.130-0.130-0.1300.8910.8760.8320.2090.1300.090-0.169-0.0980.1300.130-0.1300.1300.1300.1301.000
Grid RotorInvPhase2 Temp. Avg. [°C]-0.1670.1670.1670.1180.1070.1240.0240.0150.8260.8160.7640.7040.1670.014-0.391-0.468-0.2900.3450.107-0.1100.4680.7950.5390.972-0.0390.0160.8750.8680.8630.8530.8330.8600.6400.1670.1670.8250.8700.9300.9160.9110.9130.8430.8290.7860.2210.4950.8330.9650.6000.8460.8470.8460.0240.8230.8200.7390.7070.8430.8340.7800.6980.5390.6560.186-0.0980.3310.2830.3990.9851.0000.9870.1670.1670.7150.8560.8520.857-0.0860.1070.766-0.3180.093-0.0000.085-0.0910.0780.6590.154-0.2250.5720.1070.1070.5680.797-0.2340.5650.3430.1560.8430.623-0.167-0.167-0.1670.8420.8290.7890.1920.1670.127-0.113-0.0850.1670.167-0.1670.1670.1670.1671.000
Grid RotorInvPhase3 Temp. Avg. [°C]-0.1430.1430.1430.1480.0210.0940.0240.0070.8570.8450.7920.7270.1430.017-0.427-0.506-0.3230.3570.078-0.1460.4450.8160.5250.959-0.0470.0120.9070.9000.8970.8860.8670.8920.6530.1430.1430.8360.8820.9120.9370.9330.9350.8790.8630.8190.2360.4900.8300.9690.6370.8830.8830.8820.0230.8540.8490.7670.7380.8780.8680.8100.7330.5710.6840.199-0.1110.3430.2970.4070.9910.9871.0000.1430.1430.7190.8600.8570.862-0.1210.1410.786-0.3080.1290.0010.120-0.1280.1130.6940.160-0.2090.5500.0210.0210.6030.816-0.2170.6000.3460.1640.8780.652-0.143-0.143-0.1430.8780.8630.8230.2050.1430.104-0.153-0.1200.1430.143-0.1430.1430.1430.1431.000
Grid ok hours [h]-1.0001.0001.0000.0290.0020.6850.1780.068-0.050-0.057-0.047-0.0461.0000.179-0.0130.008-0.010-0.0360.7590.6990.4270.0390.3080.2310.009-0.003-0.018-0.026-0.031-0.043-0.045-0.0400.0681.0001.0000.1250.1350.3030.0310.0260.028-0.048-0.050-0.0360.0140.2950.3030.148-0.033-0.040-0.040-0.0410.029-0.063-0.063-0.071-0.043-0.074-0.073-0.036-0.053-0.055-0.0660.047-0.018-0.067-0.172-0.0450.1300.1670.1431.0001.0000.1180.2740.2500.258-0.0160.019-0.0280.0110.0360.0020.016-0.0340.031-0.0410.005-0.2470.5100.0020.002-0.053-0.050-0.000-0.052-0.038-0.029-0.074-0.062-1.000-0.999-1.000-0.044-0.048-0.0370.0221.0000.9620.683-0.0161.0001.000-1.0001.0001.0001.0001.000
Grid on hours [h]-1.0001.0001.0000.0290.0010.6850.1780.068-0.050-0.057-0.047-0.0461.0000.179-0.0130.008-0.010-0.0360.7590.6990.4270.0390.3080.2310.009-0.003-0.018-0.026-0.031-0.043-0.045-0.0400.0681.0001.0000.1250.1350.3030.0310.0260.028-0.048-0.050-0.0360.0140.2950.3030.148-0.033-0.040-0.040-0.0410.030-0.063-0.063-0.071-0.043-0.074-0.073-0.036-0.053-0.055-0.0660.047-0.018-0.067-0.172-0.0450.1300.1670.1431.0001.0000.1180.2740.2500.258-0.0160.019-0.0280.0110.0360.0020.016-0.0340.031-0.0410.005-0.2470.5100.0010.001-0.053-0.050-0.000-0.052-0.038-0.029-0.074-0.062-1.000-0.999-1.000-0.044-0.048-0.0370.0221.0000.9620.683-0.0161.0001.000-1.0001.0001.0001.0001.000
HVTrafo AirOutlet Temp. Avg. [°C]-0.1170.1190.1180.1170.1020.121-0.008-0.0090.5890.5950.5260.5530.1180.000-0.206-0.303-0.1180.3030.035-0.1050.5650.6950.5150.708-0.116-0.0100.6730.6680.6590.6520.6320.6600.5580.1190.1180.6770.7180.7180.7150.7140.7140.6410.6360.5870.1530.6310.8420.7050.3780.6390.6390.6390.0000.5880.6020.5290.5410.6260.6320.5770.5440.3250.4730.0620.0250.2490.2200.3070.7190.7150.7190.1180.1181.0000.8160.8140.819-0.1580.1580.617-0.3370.1070.0120.158-0.1070.1040.4300.137-0.2300.6370.1020.1020.3480.653-0.2750.3460.3210.0880.6270.432-0.117-0.120-0.1180.6380.6360.5910.1320.1180.058-0.086-0.1570.1180.118-0.1180.1180.1180.1181.000
HVTrafo Phase1 Temp. Avg. [°C]-0.2740.2750.2740.1440.0000.2700.0280.0050.7380.7410.6670.6790.2740.031-0.252-0.340-0.1460.3460.214-0.0430.5720.7720.5290.8450.0210.0030.7950.7950.7790.7720.7520.7840.6240.2750.2740.8010.8630.8510.8560.8540.8540.7480.7520.6920.1920.5600.9340.8360.4530.7610.7610.7600.0170.7360.7420.6590.6210.7330.7380.6850.6180.3820.5650.0690.0220.2640.2150.3340.8550.8560.8600.2740.2740.8161.0000.9930.997-0.0930.0960.732-0.3930.1370.0050.092-0.1360.1260.5110.164-0.2520.7060.0000.0000.4090.772-0.3290.4050.3480.1110.7330.496-0.274-0.276-0.2740.7490.7520.6950.1660.2740.235-0.038-0.0930.2740.274-0.2740.2740.2740.2741.000
HVTrafo Phase2 Temp. Avg. [°C]-0.2490.2510.2500.1470.0180.2400.0150.0060.7450.7480.6740.6850.2500.018-0.259-0.347-0.1510.3460.174-0.0850.5480.7760.5120.8370.0260.0030.7990.8000.7850.7780.7590.7900.6220.2510.2500.7960.8620.8390.8610.8600.8600.7540.7570.6960.1980.5420.9180.8320.4600.7660.7660.7650.0180.7430.7490.6650.6290.7390.7450.6890.6260.3880.5740.0690.0220.2680.2190.3340.8520.8520.8570.2500.2500.8140.9931.0000.995-0.0900.0940.738-0.3940.1390.0050.090-0.1370.1270.5180.167-0.2390.6780.0180.0180.4160.777-0.3280.4120.3470.1130.7400.501-0.250-0.252-0.2500.7540.7580.6990.1720.2500.210-0.081-0.0900.2500.250-0.2500.2500.2500.2501.000
HVTrafo Phase3 Temp. Avg. [°C]-0.2580.2590.2580.1480.0140.2470.0240.0060.7460.7500.6740.6870.2580.027-0.272-0.360-0.1620.3480.192-0.0680.5550.7800.5210.8420.0220.0030.8030.8030.7880.7810.7610.7930.6220.2590.2580.8040.8670.8440.8640.8620.8630.7570.7600.6990.2010.5490.9300.8380.4670.7690.7690.7680.0160.7440.7510.6640.6350.7420.7470.6900.6330.3940.5770.0750.0160.2700.2220.3390.8570.8570.8620.2580.2580.8190.9970.9951.000-0.0970.0980.737-0.3860.1410.0050.096-0.1390.1290.5240.169-0.2460.6870.0140.0140.4240.774-0.3200.4190.3440.1110.7420.505-0.258-0.260-0.2580.7580.7610.7030.1750.2580.218-0.064-0.0970.2580.258-0.2580.2580.2580.2581.000
HourCounters Average AlarmActive Avg. [h]0.016-0.016-0.016-0.5790.0000.013-0.1070.0590.0330.0370.0310.047-0.016-0.1270.2500.2510.252-0.123-0.053-0.0220.051-0.158-0.007-0.0600.5950.273-0.185-0.182-0.183-0.202-0.206-0.175-0.206-0.016-0.016-0.085-0.079-0.099-0.118-0.121-0.119-0.213-0.179-0.223-0.080-0.044-0.059-0.105-0.210-0.199-0.200-0.2010.0000.0340.0320.029-0.065-0.164-0.154-0.142-0.184-0.182-0.152-0.0220.034-0.050-0.041-0.033-0.099-0.086-0.121-0.016-0.016-0.158-0.093-0.090-0.0971.000-0.918-0.095-0.136-0.725-0.017-0.9970.719-0.757-0.107-0.073-0.110-0.0210.0000.000-0.232-0.087-0.128-0.217-0.0630.034-0.164-0.1780.0160.0150.016-0.216-0.179-0.225-0.068-0.016-0.0180.0251.000-0.016-0.0160.016-0.016-0.016-0.0161.000
HourCounters Average AmbientOk Avg. [h]-0.0190.0190.0190.5870.408-0.0020.115-0.049-0.038-0.043-0.038-0.0500.0190.124-0.230-0.232-0.2320.1120.0600.034-0.0320.1490.0250.082-0.526-0.0420.1810.1790.1790.1930.1960.1730.2220.0190.0190.1000.0870.1230.1280.1300.1290.1970.1620.2050.0720.0540.0720.1250.1970.1800.1810.1820.000-0.040-0.035-0.0360.0680.1520.1420.1340.1660.1720.1400.027-0.0500.0460.0320.0250.1170.1070.1410.0190.0190.1580.0960.0940.098-0.9181.0000.0870.1260.7730.0980.922-0.7800.7410.1070.0610.1030.0440.4080.4080.2200.0790.1180.2060.060-0.0330.1530.169-0.019-0.018-0.0190.1990.1620.2070.0590.0190.022-0.007-0.9150.0190.019-0.0190.0190.0190.0191.000
HourCounters Average Gen1 Avg. [h]0.028-0.028-0.0280.0740.000-0.098-0.010-0.0170.8110.8050.7480.698-0.028-0.003-0.350-0.390-0.2140.232-0.115-0.3080.2360.6210.2780.703-0.042-0.0220.8350.8370.8360.8410.8390.8340.518-0.028-0.0280.7080.7590.6820.8240.8240.8240.8330.8260.8010.2320.3100.6560.7080.4610.8300.8320.8320.0000.8140.8130.7650.7160.8320.8270.7610.7180.3880.726-0.0720.1790.3290.3090.4200.7850.7660.786-0.028-0.0280.6170.7320.7380.737-0.0950.0871.000-0.6760.0800.0110.096-0.0790.0830.5520.099-0.1290.3320.0000.0000.4240.970-0.6020.4230.3490.1530.8320.5160.0280.0250.0280.8380.8270.8040.211-0.028-0.052-0.296-0.095-0.028-0.0280.028-0.028-0.028-0.0281.000
HourCounters Average Gen2 Avg. [h]-0.0110.0110.0110.0920.000-0.0010.0840.011-0.287-0.303-0.267-0.3250.0110.064-0.223-0.219-0.3230.1440.0580.094-0.195-0.107-0.028-0.307-0.081-0.033-0.268-0.277-0.270-0.267-0.265-0.276-0.1560.0110.011-0.289-0.320-0.379-0.291-0.291-0.290-0.253-0.279-0.233-0.074-0.165-0.353-0.1980.243-0.253-0.254-0.2530.000-0.293-0.302-0.377-0.188-0.254-0.264-0.267-0.1670.324-0.1890.522-0.632-0.082-0.069-0.188-0.290-0.318-0.3080.0110.011-0.337-0.393-0.394-0.386-0.1360.126-0.6761.0000.1010.0060.136-0.1000.1040.0660.1140.120-0.2430.0000.0000.344-0.6550.9290.343-0.276-0.107-0.2540.121-0.011-0.007-0.011-0.257-0.279-0.234-0.0800.0110.0190.032-0.1360.0110.011-0.0110.0110.0110.0111.000
HourCounters Average GridOk Avg. [h]-0.0360.0360.0360.6580.707-0.0140.090-0.0630.0500.0450.0460.0370.0360.105-0.182-0.190-0.1840.1140.0390.001-0.0170.1550.0160.066-0.022-0.0640.1720.1710.1680.1720.1690.1650.2050.0360.0360.1510.1470.1230.1470.1510.1480.1680.1640.1670.1200.0820.1120.1040.1690.1720.1710.1730.0000.0460.0360.0410.0250.1250.1270.0860.1670.0990.124-0.0590.0240.0680.0490.0360.0970.0930.1290.0360.0360.1070.1370.1390.141-0.7250.7730.0800.1011.0000.1240.732-0.9820.9340.0520.0990.1240.0410.7070.7070.1500.0770.0950.1350.025-0.0290.1260.108-0.036-0.035-0.0360.1700.1640.1700.1030.0360.037-0.043-0.7260.0360.036-0.0360.0360.0360.0361.000
HourCounters Average GridOn Avg. [h]-0.0020.0020.0020.0550.707-0.0060.002-0.0060.0040.0010.009-0.0050.0020.016-0.010-0.009-0.0120.009-0.003-0.0040.0010.0120.002-0.0020.0010.0010.0080.0060.0070.0100.0090.0070.0160.0020.0020.0000.001-0.0030.0020.0030.0020.0120.0110.016-0.000-0.0060.002-0.0010.0100.0110.0110.0110.0000.0010.0090.011-0.0020.0100.0090.0140.0080.0080.0090.002-0.0030.0060.0040.0040.001-0.0000.0010.0020.0020.0120.0050.0050.005-0.0170.0980.0110.0060.1241.0000.091-0.0500.1200.0140.0010.0100.0000.7070.7070.0110.0100.0010.0090.0030.0050.0120.011-0.002-0.002-0.0020.0120.0120.016-0.0010.0020.002-0.009-0.0170.0020.002-0.0020.0020.0020.0021.000
HourCounters Average Run Avg. [h]-0.0160.0160.0160.5800.040-0.0140.107-0.060-0.033-0.037-0.031-0.0470.0160.128-0.250-0.251-0.2520.1230.0520.022-0.0510.1580.0070.060-0.593-0.2720.1850.1820.1830.2020.2050.1740.2070.0160.0160.0850.0780.0980.1170.1200.1180.2130.1790.2230.0800.0430.0580.1050.2100.1990.2000.2010.000-0.034-0.031-0.0280.0640.1640.1540.1420.1840.1820.1520.022-0.0340.0500.0410.0330.0980.0850.1200.0160.0160.1580.0920.0900.096-0.9970.9220.0960.1360.7320.0911.000-0.7190.7630.1080.0730.1100.0200.0400.0400.2320.0870.1270.2160.063-0.0340.1640.178-0.016-0.015-0.0160.2160.1790.2260.0670.0160.018-0.025-0.9960.0160.016-0.0160.0160.0160.0161.000
HourCounters Average ServiceOn Avg. [h]0.034-0.034-0.034-0.6450.0000.014-0.0950.067-0.046-0.042-0.042-0.035-0.034-0.1110.1800.1880.182-0.114-0.040-0.0020.019-0.153-0.013-0.064-0.0060.004-0.170-0.169-0.166-0.170-0.168-0.163-0.202-0.034-0.034-0.150-0.145-0.122-0.145-0.149-0.146-0.166-0.162-0.165-0.119-0.081-0.109-0.102-0.171-0.170-0.169-0.1710.000-0.043-0.033-0.039-0.022-0.124-0.125-0.084-0.166-0.101-0.1230.058-0.023-0.063-0.045-0.031-0.095-0.091-0.128-0.034-0.034-0.107-0.136-0.137-0.1390.719-0.780-0.079-0.100-0.982-0.050-0.7191.000-0.942-0.047-0.100-0.127-0.0420.0000.000-0.151-0.075-0.094-0.137-0.0250.030-0.124-0.1090.0340.0330.034-0.168-0.162-0.167-0.102-0.034-0.0350.0420.719-0.034-0.0340.034-0.034-0.034-0.0341.000
HourCounters Average TurbineOk Avg. [h]-0.0310.0310.0310.6170.054-0.0230.099-0.0760.0390.0340.0370.0270.0310.119-0.190-0.196-0.1920.1170.036-0.003-0.0290.1480.0010.051-0.108-0.2510.1630.1600.1600.1690.1670.1550.2050.0310.0310.1370.1340.1050.1350.1390.1370.1730.1680.1740.1160.0660.0960.0900.1820.1780.1770.1790.0000.0360.0270.0340.0200.1280.1290.0890.1710.1060.128-0.0660.0290.0680.0500.0370.0830.0780.1130.0310.0310.1040.1260.1270.129-0.7570.7410.0830.1040.9340.1200.763-0.9421.0000.0470.1030.1200.0270.0540.0540.1580.0790.0980.1440.028-0.0290.1290.115-0.031-0.029-0.0310.1750.1680.1760.0980.0310.031-0.050-0.7590.0310.031-0.0310.0310.0310.0311.000
HourCounters Average WindOk Avg. [h]0.041-0.041-0.0410.0720.000-0.1390.059-0.0090.8120.7820.7690.588-0.0410.050-0.730-0.779-0.6590.228-0.121-0.3190.1170.7070.2810.590-0.100-0.0090.8100.7820.8170.7750.7700.7980.435-0.041-0.0410.5940.6220.4690.7590.7590.7600.8030.7560.7240.3010.2190.4710.7420.8660.8230.8230.8230.0000.8110.7830.7410.7400.8300.7980.7740.7190.7630.6320.450-0.4250.3410.3180.3640.7220.6590.694-0.041-0.0410.4300.5110.5180.524-0.1070.1070.5520.0660.0520.0140.108-0.0470.0471.0000.120-0.0590.1610.0000.0000.8060.5370.2080.8070.1690.2470.8300.7270.0410.0410.0410.7900.7570.7280.271-0.041-0.067-0.355-0.107-0.041-0.0410.041-0.041-0.041-0.0411.000
HourCounters Average Yaw Avg. [h]-0.0050.0050.0050.0870.000-0.049-0.0150.1100.1610.2330.0190.3680.005-0.027-0.079-0.2410.0350.457-0.004-0.0670.0260.1890.1230.147-0.001-0.0190.1760.1850.1700.1780.1670.1750.1520.0050.0050.1720.2100.1290.1890.1910.1900.1880.2730.0620.3000.0600.1500.1680.1520.1850.1840.1830.0000.1600.235-0.0450.3390.1660.245-0.0030.3560.1280.460-0.2100.0920.0980.1020.1070.1620.1540.1600.0050.0050.1370.1640.1670.169-0.0730.0610.0990.1140.0990.0010.073-0.1000.1030.1201.000-0.0440.0760.0000.0000.1750.1070.1160.1710.074-0.2440.1660.155-0.005-0.004-0.0050.1820.2690.0700.2720.005-0.014-0.077-0.0730.0050.005-0.0050.0050.0050.0051.000
Hydraulic Oil Temp. Avg. [°C]0.247-0.247-0.2470.1060.000-0.182-0.055-0.027-0.128-0.130-0.116-0.136-0.247-0.052-0.0420.001-0.066-0.081-0.167-0.118-0.302-0.153-0.215-0.251-0.0020.003-0.125-0.123-0.116-0.111-0.099-0.116-0.141-0.247-0.247-0.178-0.194-0.259-0.163-0.159-0.161-0.109-0.115-0.1030.019-0.219-0.304-0.215-0.024-0.112-0.112-0.1120.009-0.125-0.135-0.111-0.116-0.108-0.113-0.114-0.081-0.021-0.064-0.023-0.006-0.0280.007-0.046-0.213-0.225-0.209-0.247-0.247-0.230-0.252-0.239-0.246-0.1100.103-0.1290.1200.1240.0100.110-0.1270.120-0.059-0.0441.000-0.3090.0000.000-0.012-0.1490.114-0.013-0.087-0.007-0.108-0.0560.2470.2470.247-0.109-0.115-0.1030.019-0.247-0.202-0.128-0.110-0.247-0.2470.247-0.247-0.247-0.2471.000
Nacelle Temp. Avg. [°C]-0.5100.5100.5100.0690.0110.7270.0440.0370.3180.3250.2760.3340.5100.0440.051-0.0210.0940.2200.5880.4770.9160.4450.6070.6210.0010.0360.3800.3710.3550.3490.3190.3530.4530.5100.5100.5190.5430.6970.4440.4380.4400.3240.3370.2860.0560.7670.7940.5490.1320.3380.3370.3360.0070.3120.3210.2720.2240.3090.3150.3020.2110.0890.2030.0160.0620.0740.0140.1500.5420.5720.5500.5100.5100.6370.7060.6780.687-0.0210.0440.332-0.2430.0410.0000.020-0.0420.0270.1610.076-0.3091.0000.0110.0110.0940.383-0.2220.0940.2340.0310.3090.192-0.510-0.508-0.5100.3220.3380.2870.0520.5100.4610.494-0.0200.5100.510-0.5100.5100.5100.5101.000
Power factor set point0.0000.0030.0000.7070.5000.0000.0200.0000.0210.0260.0000.0380.0020.0210.0520.0530.0500.0000.0000.0000.0410.0130.2420.1450.0000.0000.0000.0000.0000.0230.0190.0000.0180.0000.0000.0290.0040.2490.0000.0000.0000.0000.0050.0000.0000.0210.0190.0350.0620.0000.0000.0000.0000.0110.0000.0000.0540.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0250.1070.0210.0020.0010.1020.0000.0180.0140.0000.4080.0000.0000.7070.7070.0400.0000.0540.0000.0000.0000.0111.0000.5000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0060.0000.0000.0000.0000.0000.0000.0060.0010.0000.0000.0020.0001.000
Power factor set point source0.0000.0030.0000.7070.5000.0000.0200.0000.0210.0260.0000.0380.0020.0210.0520.0530.0500.0000.0000.0000.0410.0130.2420.1450.0000.0000.0000.0000.0000.0230.0190.0000.0180.0000.0000.0290.0040.2490.0000.0000.0000.0000.0050.0000.0000.0210.0190.0350.0620.0000.0000.0000.0000.0110.0000.0000.0540.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0250.1070.0210.0020.0010.1020.0000.0180.0140.0000.4080.0000.0000.7070.7070.0400.0000.0540.0000.0000.0000.0110.5001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0060.0000.0000.0000.0000.0000.0000.0060.0010.0000.0000.0020.0001.000
Production LatestAverage Active Power Gen 0 Avg. [W]0.053-0.053-0.0530.1470.000-0.1540.094-0.0170.6750.6380.6470.443-0.0530.079-0.717-0.737-0.7060.309-0.110-0.2960.0410.6420.2900.500-0.155-0.0460.7180.7020.7190.7240.7230.7070.435-0.053-0.0530.5110.5360.3760.6700.6700.6710.7320.6560.7360.1080.1620.3670.6480.9150.7220.7230.7240.0000.6730.6390.5700.6420.7400.6980.6920.6540.9460.6360.651-0.6600.3110.2990.2990.6280.5680.603-0.053-0.0530.3480.4090.4160.424-0.2320.2200.4240.3440.1500.0110.232-0.1510.1580.8060.175-0.0120.0940.0000.0001.0000.4120.3500.9890.1370.2510.7400.8470.0530.0540.0530.7310.6590.7390.080-0.053-0.071-0.350-0.232-0.053-0.0530.053-0.053-0.053-0.0531.000
Production LatestAverage Active Power Gen 1 Avg. [W]0.050-0.050-0.0500.0720.000-0.092-0.024-0.0280.8390.8360.7760.742-0.050-0.017-0.230-0.308-0.1020.326-0.130-0.3310.2820.6750.3270.736-0.033-0.0190.8590.8620.8570.8650.8510.8560.591-0.050-0.0500.7270.7850.7080.8480.8480.8480.8560.8540.8110.1740.3600.6940.7520.4490.8580.8600.8600.0110.8420.8430.7900.6950.8590.8550.7830.6960.3760.697-0.0530.1710.3130.2940.3890.8160.7970.816-0.050-0.0500.6530.7720.7770.774-0.0870.0790.970-0.6550.0770.0100.087-0.0750.0790.5370.107-0.1490.3830.0000.0000.4121.000-0.5830.4110.3950.1480.8590.5290.0500.0470.0500.8580.8550.8140.151-0.050-0.072-0.314-0.086-0.050-0.0500.050-0.050-0.050-0.0501.000
Production LatestAverage Active Power Gen 2 Avg. [W]0.0000.000-0.0000.0870.000-0.0220.0760.020-0.165-0.174-0.174-0.199-0.0000.058-0.327-0.352-0.3670.1250.0330.053-0.173-0.019-0.031-0.237-0.076-0.028-0.156-0.170-0.154-0.173-0.173-0.166-0.1380.000-0.000-0.208-0.240-0.319-0.193-0.192-0.191-0.139-0.153-0.1950.106-0.140-0.285-0.1080.305-0.131-0.134-0.1330.000-0.168-0.171-0.276-0.057-0.131-0.136-0.203-0.0350.292-0.1220.445-0.538-0.019-0.014-0.107-0.193-0.234-0.217-0.000-0.000-0.275-0.329-0.328-0.320-0.1280.118-0.6020.9290.0950.0010.127-0.0940.0980.2080.1160.114-0.2220.0000.0000.350-0.5831.0000.350-0.315-0.114-0.1310.1050.0000.004-0.000-0.148-0.153-0.1940.099-0.0000.002-0.008-0.127-0.000-0.0000.000-0.000-0.000-0.0001.000
Production LatestAverage Reactive Power Gen 0 Avg. [var]0.053-0.052-0.0520.1340.000-0.1520.090-0.0190.6760.6390.6470.445-0.0520.076-0.715-0.735-0.7040.306-0.111-0.2940.0450.6360.2820.497-0.148-0.0430.7130.6970.7140.7190.7180.7020.417-0.052-0.0520.5060.5310.3720.6660.6660.6670.7290.6530.7320.0990.1590.3640.6470.9180.7200.7210.7220.0000.6750.6400.5710.6430.7370.6950.6920.6510.9500.6360.655-0.6630.3010.2890.2890.6260.5650.600-0.052-0.0520.3460.4050.4120.419-0.2170.2060.4230.3430.1350.0090.216-0.1370.1440.8070.171-0.0130.0940.0000.0000.9890.4110.3501.0000.1370.2540.7370.8540.0530.0530.0520.7280.6550.7350.073-0.052-0.071-0.346-0.216-0.052-0.0520.052-0.052-0.052-0.0521.000
Production LatestAverage Reactive Power Gen 1 Avg. [var]0.038-0.038-0.0380.0220.000-0.022-0.012-0.0160.3320.3250.3390.293-0.038-0.0110.0250.000-0.0110.122-0.066-0.1500.1840.3140.2030.332-0.066-0.0270.3490.3500.3450.3510.3370.3500.334-0.038-0.0380.2990.3330.3260.3520.3520.3520.3400.3290.362-0.0180.2110.3140.3390.1380.3420.3420.3420.0000.3310.3290.3860.2030.3420.3340.4360.1900.2400.2790.074-0.0040.1300.1200.1480.3450.3430.346-0.038-0.0380.3210.3480.3470.344-0.0630.0600.349-0.2760.0250.0030.063-0.0250.0280.1690.074-0.0870.2340.0000.0000.1370.395-0.3150.1371.0000.1840.3430.5950.0380.0380.0390.3320.3290.364-0.024-0.038-0.045-0.134-0.063-0.038-0.0380.038-0.038-0.038-0.0381.000
Production LatestAverage Reactive Power Gen 2 Avg. [var]0.029-0.029-0.029-0.0260.000-0.0440.030-0.0450.2100.1610.2980.018-0.0290.038-0.159-0.072-0.280-0.399-0.064-0.1010.0380.1640.0360.1300.020-0.0050.1940.1740.2010.1860.1810.1910.073-0.029-0.0290.1030.1080.0970.1720.1720.1720.1820.0600.288-0.2490.0370.0990.1800.3070.1890.1890.1910.0000.2080.1160.4300.0370.2000.1130.4190.0240.3690.0130.410-0.4320.0560.0370.0640.1720.1560.164-0.029-0.0290.0880.1110.1130.1110.034-0.0330.153-0.107-0.0290.005-0.0340.030-0.0290.247-0.244-0.0070.0310.0000.0000.2510.148-0.1140.2540.1841.0000.2010.3780.0290.0280.0290.1750.0620.290-0.238-0.029-0.031-0.1010.034-0.029-0.0290.029-0.029-0.029-0.0291.000
Production LatestAverage Total Active Power Avg. [W]0.074-0.074-0.0740.1230.000-0.1490.024-0.0210.9540.9370.8890.783-0.0740.021-0.562-0.639-0.4500.377-0.158-0.3880.2190.8210.3640.762-0.087-0.0340.9760.9670.9790.9670.9550.9660.626-0.074-0.0740.7650.8160.6720.9330.9330.9340.9850.9640.9110.2950.3370.6680.8680.7650.9890.9900.9900.0120.9560.9470.8660.8351.0000.9840.9060.8430.7030.7860.264-0.1770.3920.3710.4380.8950.8430.878-0.074-0.0740.6270.7330.7400.742-0.1640.1530.832-0.2540.1260.0120.164-0.1240.1290.8300.166-0.1080.3090.0000.0000.7400.859-0.1310.7370.3430.2011.0000.7630.0740.0730.0740.9810.9640.9150.262-0.074-0.099-0.403-0.163-0.074-0.0740.074-0.074-0.074-0.0741.000
Production LatestAverage Total Reactive Power Avg. [var]0.063-0.062-0.0630.1070.000-0.1330.067-0.0240.7120.6770.7020.499-0.0620.056-0.553-0.575-0.5730.287-0.125-0.3130.1300.6650.3270.561-0.125-0.0340.7430.7310.7420.7480.7400.7340.498-0.062-0.0630.5510.5880.4580.7070.7070.7080.7500.6830.7770.0540.2330.4470.6850.7980.7460.7470.7480.0000.7100.6780.6730.6090.7630.7220.7870.6090.8870.6440.579-0.5450.3020.2860.3020.6720.6230.652-0.062-0.0620.4320.4960.5010.505-0.1780.1690.5160.1210.1080.0110.178-0.1090.1150.7270.155-0.0560.1920.0000.0000.8470.5290.1050.8540.5950.3780.7631.0000.0630.0630.0620.7450.6850.7800.030-0.062-0.081-0.345-0.178-0.062-0.0620.063-0.062-0.062-0.0621.000
Reactive power generator 0,Total accumulated [var]1.000-1.000-1.000-0.0290.000-0.685-0.178-0.0680.0500.0570.0470.046-1.000-0.1790.013-0.0080.0100.036-0.760-0.699-0.427-0.038-0.308-0.231-0.0090.0030.0180.0260.0310.0430.0450.040-0.067-1.000-1.000-0.125-0.135-0.302-0.030-0.025-0.0270.0480.0500.036-0.014-0.295-0.303-0.1470.0330.0400.0400.0410.0240.0620.0630.0710.0430.0740.0730.0360.0530.0550.066-0.0470.0170.0670.1710.044-0.130-0.167-0.143-1.000-1.000-0.117-0.274-0.250-0.2580.016-0.0190.028-0.011-0.036-0.002-0.0160.034-0.0310.041-0.0050.247-0.5100.0000.0000.0530.0500.0000.0530.0380.0290.0740.0631.0000.9991.0000.0440.0480.037-0.022-1.000-0.962-0.6840.016-1.000-1.0001.000-1.000-1.000-1.0001.000
Reactive power generator 1, Total accumulated [var]0.999-0.999-0.999-0.0270.000-0.682-0.176-0.0670.0490.0560.0460.045-0.999-0.1780.015-0.0080.0110.039-0.756-0.696-0.426-0.038-0.304-0.230-0.0090.0030.0180.0250.0300.0420.0440.039-0.065-0.999-0.999-0.127-0.136-0.302-0.031-0.027-0.0280.0470.0490.035-0.014-0.292-0.303-0.1470.0330.0390.0390.0400.0300.0610.0620.0690.0410.0730.0720.0340.0520.0550.065-0.0460.0160.0690.1730.046-0.130-0.167-0.143-0.999-0.999-0.120-0.276-0.252-0.2600.015-0.0180.025-0.007-0.035-0.002-0.0150.033-0.0290.041-0.0040.247-0.5080.0000.0000.0540.0470.0040.0530.0380.0280.0730.0630.9991.0000.9990.0430.0470.036-0.022-0.999-0.960-0.6810.015-0.999-0.9990.999-0.999-0.999-0.9991.000
Reactive power generator 2, Total accumulated [var]1.000-1.000-1.000-0.0290.000-0.685-0.177-0.0680.0500.0570.0470.046-1.000-0.1790.014-0.0070.0110.036-0.760-0.699-0.427-0.038-0.308-0.231-0.0090.0030.0180.0260.0300.0420.0450.039-0.067-1.000-1.000-0.125-0.135-0.303-0.031-0.026-0.0270.0480.0500.035-0.014-0.295-0.303-0.1480.0320.0400.0400.0410.0330.0620.0630.0710.0420.0740.0730.0360.0530.0550.065-0.0470.0180.0670.1710.044-0.130-0.167-0.143-1.000-1.000-0.118-0.274-0.250-0.2580.016-0.0190.028-0.011-0.036-0.002-0.0160.034-0.0310.041-0.0050.247-0.5100.0000.0000.0530.050-0.0000.0520.0390.0290.0740.0621.0000.9991.0000.0440.0480.037-0.022-1.000-0.962-0.6840.016-1.000-1.0001.000-1.000-1.000-1.0001.000
Rotor RPM Avg. [RPM]0.045-0.044-0.0440.1550.000-0.1250.042-0.0180.9400.9220.8750.770-0.0440.037-0.576-0.645-0.4600.375-0.126-0.3650.2250.8140.3690.762-0.114-0.0530.9740.9690.9770.9730.9650.9650.639-0.044-0.0440.7740.8250.6810.9310.9320.9320.9940.9620.9310.2920.3450.6810.8560.7400.9820.9820.9820.0000.9360.9300.8390.8350.9810.9680.8930.8460.6890.7800.247-0.1610.3930.3710.4380.8910.8420.878-0.044-0.0440.6380.7490.7540.758-0.2160.1990.838-0.2570.1700.0120.216-0.1680.1750.7900.182-0.1090.3220.0000.0000.7310.858-0.1480.7280.3320.1750.9810.7450.0440.0430.0441.0000.9630.9350.255-0.044-0.070-0.384-0.216-0.044-0.0440.044-0.044-0.044-0.0441.000
Rotor RPM Max. [RPM]0.048-0.048-0.0480.1490.006-0.1190.010-0.0030.9280.9370.8270.842-0.0480.004-0.516-0.638-0.3590.483-0.123-0.3580.2390.8020.3700.754-0.065-0.0420.9520.9480.9520.9410.9280.9430.631-0.048-0.0480.7730.8290.6800.9160.9170.9180.9680.9990.8520.4400.3560.6850.8410.6790.9690.9690.9680.0000.9280.9510.7850.8660.9650.9860.8200.8820.6050.8070.133-0.0470.3880.3670.4420.8760.8290.863-0.048-0.0480.6360.7520.7580.761-0.1790.1620.827-0.2790.1640.0120.179-0.1620.1680.7570.269-0.1150.3380.0060.0060.6590.855-0.1530.6550.3290.0620.9640.6850.0480.0470.0480.9631.0000.8580.401-0.048-0.077-0.371-0.179-0.048-0.0480.048-0.048-0.048-0.0481.000
Rotor RPM Min. [RPM]0.037-0.037-0.0370.1540.000-0.1190.079-0.0400.8770.8250.8900.600-0.0370.073-0.559-0.556-0.5210.259-0.121-0.3480.2000.7540.3530.712-0.127-0.0630.9100.9050.9130.9220.9170.9010.617-0.037-0.0370.7140.7580.6340.8680.8680.8680.9270.8550.9960.0870.3200.6260.7940.7190.9140.9150.9150.0000.8670.8310.8580.7100.9150.8710.9240.7210.7430.6950.367-0.2730.3610.3400.3880.8320.7890.823-0.037-0.0370.5910.6950.6990.703-0.2250.2070.804-0.2340.1700.0160.226-0.1670.1760.7280.070-0.1030.2870.0000.0000.7390.814-0.1940.7350.3640.2900.9150.7800.0370.0360.0370.9350.8581.0000.054-0.037-0.055-0.372-0.225-0.037-0.0370.037-0.037-0.037-0.0371.000
Rotor RPM StdDev [RPM]-0.0230.0220.0220.0810.000-0.032-0.0310.0690.2640.3160.1220.4080.022-0.037-0.352-0.407-0.1420.210-0.004-0.0560.0330.1850.0370.1680.027-0.0030.2610.2600.2610.2220.2300.2590.0770.0220.0220.2380.2480.1690.2440.2460.2460.2680.4000.0510.9840.0740.1640.1720.1090.2790.2770.2760.0000.2640.3290.0960.4070.2620.3380.0540.424-0.0070.365-0.2960.2990.1850.1620.2600.2090.1920.2050.0220.0220.1320.1660.1720.175-0.0680.0590.211-0.0800.103-0.0010.067-0.1020.0980.2710.2720.0190.0520.0000.0000.0800.1510.0990.073-0.024-0.2380.2620.030-0.022-0.022-0.0220.2550.4010.0541.0000.022-0.000-0.065-0.0680.0220.022-0.0220.0220.0220.0221.000
Run hours [h]-1.0001.0001.0000.0290.0000.6850.1780.068-0.050-0.057-0.047-0.0461.0000.179-0.0130.008-0.010-0.0360.7590.6990.4270.0390.3080.2310.009-0.003-0.018-0.026-0.031-0.043-0.045-0.0400.0681.0001.0000.1250.1350.3030.0310.0260.028-0.048-0.050-0.0360.0140.2950.3030.148-0.033-0.040-0.040-0.0410.029-0.063-0.063-0.071-0.043-0.074-0.073-0.036-0.053-0.055-0.0660.047-0.018-0.067-0.172-0.0450.1300.1670.1431.0001.0000.1180.2740.2500.258-0.0160.019-0.0280.0110.0360.0020.016-0.0340.031-0.0410.005-0.2470.5100.0000.000-0.053-0.050-0.000-0.052-0.038-0.029-0.074-0.062-1.000-0.999-1.000-0.044-0.048-0.0370.0221.0000.9620.683-0.0161.0001.000-1.0001.0001.0001.0001.000
Service hours [h]-0.9620.9620.9620.0290.0000.6680.1700.068-0.078-0.089-0.065-0.0830.9620.1710.0000.029-0.004-0.0550.7510.6900.369-0.0020.2580.1860.007-0.005-0.048-0.055-0.059-0.070-0.073-0.0670.0440.9620.9620.0890.0870.258-0.005-0.009-0.007-0.075-0.079-0.053-0.0090.2430.2530.107-0.056-0.068-0.068-0.0690.024-0.089-0.093-0.089-0.074-0.099-0.101-0.058-0.081-0.071-0.0920.041-0.014-0.069-0.165-0.0510.0900.1270.1040.9620.9620.0580.2350.2100.218-0.0180.022-0.0520.0190.0370.0020.018-0.0350.031-0.067-0.014-0.2020.4610.0000.000-0.071-0.0720.002-0.071-0.045-0.031-0.099-0.081-0.962-0.960-0.962-0.070-0.077-0.055-0.0000.9621.0000.674-0.0180.9620.962-0.9620.9620.9620.9621.000
Spinner Temp. Avg. [°C]-0.6840.6820.683-0.0130.0000.7930.1060.070-0.396-0.389-0.385-0.3060.6830.1150.2390.2700.214-0.1650.8500.9870.466-0.2930.231-0.019-0.0320.026-0.364-0.374-0.379-0.387-0.395-0.388-0.1500.6820.683-0.152-0.1790.096-0.326-0.333-0.330-0.388-0.371-0.371-0.0880.2810.085-0.144-0.337-0.386-0.386-0.3880.006-0.404-0.396-0.379-0.333-0.403-0.396-0.368-0.338-0.334-0.333-0.1120.115-0.209-0.255-0.152-0.169-0.113-0.1530.6830.683-0.086-0.038-0.081-0.0640.025-0.007-0.2960.032-0.043-0.009-0.0250.042-0.050-0.355-0.077-0.1280.4940.0000.000-0.350-0.314-0.008-0.346-0.134-0.101-0.403-0.345-0.684-0.681-0.684-0.384-0.371-0.372-0.0650.6830.6741.0000.0250.6830.683-0.6830.6830.6830.6831.000
System Logs First Active Alarm No0.016-0.016-0.016-0.5780.0000.013-0.1070.0600.0320.0360.0300.046-0.016-0.1270.2500.2510.252-0.121-0.052-0.0210.051-0.158-0.007-0.0600.5910.279-0.185-0.182-0.183-0.202-0.205-0.174-0.206-0.016-0.016-0.085-0.079-0.098-0.117-0.120-0.119-0.213-0.178-0.223-0.080-0.044-0.059-0.105-0.210-0.198-0.200-0.2000.0000.0330.0310.027-0.064-0.163-0.154-0.142-0.184-0.181-0.151-0.0220.034-0.051-0.042-0.033-0.098-0.085-0.120-0.016-0.016-0.157-0.093-0.090-0.0971.000-0.915-0.095-0.136-0.726-0.017-0.9960.719-0.759-0.107-0.073-0.110-0.0200.0000.000-0.232-0.086-0.127-0.216-0.0630.034-0.163-0.1780.0160.0150.016-0.216-0.179-0.225-0.068-0.016-0.0180.0251.000-0.016-0.0160.016-0.016-0.016-0.0161.000
Total Active power [W]-1.0001.0001.0000.0300.0060.6850.1780.068-0.050-0.057-0.047-0.0461.0000.179-0.0130.008-0.010-0.0360.7590.6990.4270.0390.3080.2310.009-0.003-0.018-0.026-0.030-0.042-0.045-0.0390.0681.0001.0000.1250.1350.3030.0310.0260.028-0.048-0.050-0.0360.0140.2950.3030.148-0.033-0.040-0.040-0.0410.028-0.063-0.063-0.071-0.043-0.074-0.073-0.036-0.053-0.055-0.0660.047-0.018-0.067-0.172-0.0450.1300.1670.1431.0001.0000.1180.2740.2500.258-0.0160.019-0.0280.0110.0360.0020.016-0.0340.031-0.0410.005-0.2470.5100.0060.006-0.053-0.050-0.000-0.052-0.038-0.029-0.074-0.062-1.000-0.999-1.000-0.044-0.048-0.0370.0221.0000.9620.683-0.0161.0001.000-1.0001.0001.0001.0001.000
Total hour counter [h]-1.0001.0001.0000.0290.0010.6850.1780.068-0.050-0.057-0.047-0.0461.0000.179-0.0130.008-0.010-0.0360.7590.6990.4270.0390.3080.2310.009-0.003-0.018-0.026-0.031-0.043-0.045-0.0400.0681.0001.0000.1250.1350.3030.0310.0260.028-0.048-0.050-0.0360.0140.2950.3030.148-0.033-0.040-0.040-0.0410.030-0.063-0.063-0.071-0.043-0.074-0.073-0.036-0.053-0.055-0.0660.047-0.018-0.067-0.172-0.0450.1300.1670.1431.0001.0000.1180.2740.2500.258-0.0160.019-0.0280.0110.0360.0020.016-0.0340.031-0.0410.005-0.2470.5100.0010.001-0.053-0.050-0.000-0.052-0.038-0.029-0.074-0.062-1.000-0.999-1.000-0.044-0.048-0.0370.0221.0000.9620.683-0.0161.0001.000-1.0001.0001.0001.0001.000
Total reactive power [var]1.000-1.000-1.000-0.0290.000-0.685-0.177-0.0680.0500.0570.0470.046-1.000-0.1790.013-0.0080.0100.036-0.760-0.699-0.427-0.038-0.308-0.231-0.0090.0030.0180.0260.0310.0430.0450.040-0.067-1.000-1.000-0.125-0.135-0.303-0.030-0.026-0.0270.0480.0500.036-0.014-0.295-0.303-0.1470.0330.0400.0400.0410.0250.0620.0630.0710.0430.0740.0730.0360.0530.0550.066-0.0470.0170.0670.1720.045-0.130-0.167-0.143-1.000-1.000-0.118-0.274-0.250-0.2580.016-0.0190.028-0.011-0.036-0.002-0.0160.034-0.0310.041-0.0050.247-0.5100.0000.0000.0530.0500.0000.0520.0380.0290.0740.0631.0000.9991.0000.0440.0480.037-0.022-1.000-0.962-0.6830.016-1.000-1.0001.000-1.000-1.000-1.0001.000
Turbine ok hours [h]-1.0001.0001.0000.0290.0000.6850.1780.068-0.050-0.057-0.047-0.0461.0000.179-0.0130.008-0.010-0.0360.7590.6990.4270.0390.3080.2310.009-0.003-0.018-0.026-0.031-0.043-0.045-0.0400.0681.0001.0000.1250.1350.3030.0310.0260.028-0.048-0.050-0.0360.0140.2950.3030.148-0.033-0.040-0.040-0.0410.029-0.063-0.063-0.071-0.043-0.074-0.073-0.036-0.053-0.055-0.0660.047-0.018-0.067-0.172-0.0450.1300.1670.1431.0001.0000.1180.2740.2500.258-0.0160.019-0.0280.0110.0360.0020.016-0.0340.031-0.0410.005-0.2470.5100.0000.000-0.053-0.050-0.000-0.052-0.038-0.029-0.074-0.062-1.000-0.999-1.000-0.044-0.048-0.0370.0221.0000.9620.683-0.0161.0001.000-1.0001.0001.0001.0001.000
Wind ok hours [h]-1.0001.0001.0000.0290.0020.6850.1780.068-0.050-0.057-0.047-0.0461.0000.179-0.0130.008-0.010-0.0360.7590.6990.4270.0390.3080.2310.009-0.003-0.018-0.026-0.031-0.043-0.045-0.0390.0681.0001.0000.1250.1350.3030.0310.0260.028-0.048-0.050-0.0360.0140.2950.3030.148-0.033-0.040-0.040-0.0410.027-0.063-0.063-0.071-0.043-0.074-0.073-0.036-0.053-0.055-0.0660.047-0.018-0.067-0.172-0.0450.1300.1670.1431.0001.0000.1180.2740.2500.258-0.0160.019-0.0280.0110.0360.0020.016-0.0340.031-0.0410.005-0.2470.5100.0020.002-0.053-0.050-0.000-0.052-0.038-0.029-0.074-0.062-1.000-0.999-1.000-0.044-0.048-0.0370.0221.0000.9620.683-0.0161.0001.000-1.0001.0001.0001.0001.000
Yaw hours [h]-1.0001.0001.0000.0290.0000.6850.1780.068-0.050-0.057-0.047-0.0461.0000.179-0.0130.008-0.010-0.0360.7590.6990.4270.0390.3080.2310.009-0.003-0.018-0.026-0.031-0.043-0.045-0.0400.0681.0001.0000.1250.1350.3030.0310.0260.028-0.048-0.050-0.0360.0140.2950.3030.148-0.033-0.040-0.040-0.0410.031-0.063-0.063-0.071-0.043-0.074-0.073-0.036-0.053-0.055-0.0660.047-0.018-0.067-0.172-0.0450.1300.1670.1431.0001.0000.1180.2740.2500.258-0.0160.019-0.0280.0110.0360.0020.016-0.0340.031-0.0410.005-0.2470.5100.0000.000-0.053-0.050-0.000-0.052-0.038-0.029-0.074-0.062-1.000-0.999-1.000-0.044-0.048-0.0370.0221.0000.9620.683-0.0161.0001.000-1.0001.0001.0001.0001.000
missing_data1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2025-05-15T14:09:51.157217image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-05-15T14:09:52.015903image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-05-15T14:09:55.368736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

TimestampGenerator RPM Max. [RPM]Generator RPM Min. [RPM]Generator RPM Avg. [RPM]Generator RPM StdDev [RPM]Generator Bearing Temp. Avg. [°C]Generator Phase1 Temp. Avg. [°C]Generator Phase2 Temp. Avg. [°C]Generator Phase3 Temp. Avg. [°C]Generator SlipRing Temp. Avg. [°C]Generator Bearing2 Temp. Avg. [°C]Generator CoolingWater Temp. Avg. [°C]Hydraulic Oil Temp. Avg. [°C]Gear Oil Temp. Avg. [°C]Gear Bearing Temp. Avg. [°C]Gear Oil TemperatureBasis Avg. [°C]Gear Oil TemperatureLevel1 Avg. [°C]Gear Oil TemperatureLevel2_3 Avg. [°C]Gear Bearing TemperatureHSRotorEnd Avg. [°C]Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]Gear Bearing TemperatureHSMiddle Avg. [°C]Gear Bearing TemperatureHollowShaftRotor Avg. [°C]Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]Nacelle Temp. Avg. [°C]Avg. direction [°]Rotor RPM Max. [RPM]Rotor RPM Min. [RPM]Rotor RPM Avg. [RPM]Rotor RPM StdDev [RPM]Ambient WindSpeed Max. [m/s]Ambient WindSpeed Min. [m/s]Ambient WindSpeed Avg. [m/s]Ambient WindSpeed StdDev [m/s]Ambient WindDir Relative Avg. [°]Ambient WindDir Absolute Avg. [°]Ambient Temp. Avg. [°C]Ambient WindSpeed Estimated Avg. [m/s]Grid InverterPhase1 Temp. Avg. [°C]Grid RotorInvPhase1 Temp. Avg. [°C]Grid RotorInvPhase2 Temp. Avg. [°C]Grid RotorInvPhase3 Temp. Avg. [°C]Grid Production Power Avg. [W]Grid Production CosPhi Avg.Grid Production Frequency Avg. [Hz]Grid Production VoltagePhase1 Avg. [V]Grid Production VoltagePhase2 Avg. [V]Grid Production VoltagePhase3 Avg. [V]Grid Production CurrentPhase1 Avg. [A]Grid Production CurrentPhase2 Avg. [A]Grid Production CurrentPhase3 Avg. [A]Grid Production Power Max. [W]Grid Production Power Min. [W]Grid Busbar Temp. Avg. [°C]Grid Production Power StdDev [W]Grid Production ReactivePower Avg. [W]Grid Production ReactivePower Max. [W]Grid Production ReactivePower Min. [W]Grid Production ReactivePower StdDev [W]Grid Production PossiblePower Avg. [W]Grid Production PossiblePower Max. [W]Grid Production PossiblePower Min. [W]Grid Production PossiblePower StdDev [W]Grid Production PossibleInductive Avg. [var]Grid Production PossibleInductive Max. [var]Grid Production PossibleInductive Min. [var]Grid Production PossibleInductive StdDev [var]Grid Production PossibleCapacitive Avg. [var]Grid Production PossibleCapacitive Max. [var]Grid Production PossibleCapacitive Min. [var]Grid Production PossibleCapacitive StdDev [var]Active power limit [W]Active power limit sourceReactive power set point [var]Power factor set pointPower factor set point sourceController Ground Temp. Avg. [°C]Controller Top Temp. Avg. [°C]Controller Hub Temp. Avg. [°C]Controller VCP Temp. Avg. [°C]Controller VCP ChokecoilTemp. Avg. [°C]Controller VCP WaterTemp. Avg. [°C]Spinner Temp. Avg. [°C]Spinner Temp. SlipRing Avg. [°C]Blades PitchAngle Min. [°]Blades PitchAngle Max. [°]Blades PitchAngle Avg. [°]Blades PitchAngle StdDev [°]HVTrafo Phase1 Temp. Avg. [°C]HVTrafo Phase2 Temp. Avg. [°C]HVTrafo Phase3 Temp. Avg. [°C]HVTrafo AirOutlet Temp. Avg. [°C]HourCounters Average Total Avg. [h]HourCounters Average GridOn Avg. [h]HourCounters Average GridOk Avg. [h]HourCounters Average TurbineOk Avg. [h]HourCounters Average Run Avg. [h]HourCounters Average Gen1 Avg. [h]HourCounters Average Gen2 Avg. [h]HourCounters Average Yaw Avg. [h]HourCounters Average ServiceOn Avg. [h]HourCounters Average AmbientOk Avg. [h]HourCounters Average WindOk Avg. [h]HourCounters Average AlarmActive Avg. [h]Total hour counter [h]Grid on hours [h]Grid ok hours [h]Turbine ok hours [h]Run hours [h]Generator 1 hours [h]Generator 2 hours [h]Yaw hours [h]Service hours [h]Ambient ok hours [h]Wind ok hours [h]Production LatestAverage Active Power Gen 0 Avg. [W]Production LatestAverage Active Power Gen 1 Avg. [W]Production LatestAverage Active Power Gen 2 Avg. [W]Production LatestAverage Total Active Power Avg. [W]Production LatestAverage Reactive Power Gen 0 Avg. [var]Production LatestAverage Reactive Power Gen 1 Avg. [var]Production LatestAverage Reactive Power Gen 2 Avg. [var]Production LatestAverage Total Reactive Power Avg. [var]Active power generator 0, Total accumulated [W]Active power generator 1, Total accumulated [W]Active power generator 2, Total accumulated [W]Total Active power [W]Reactive power generator 0,Total accumulated [var]Reactive power generator 1, Total accumulated [var]Reactive power generator 2, Total accumulated [var]Total reactive power [var]System Logs First Active Alarm NoFirst Alarm parameter 1 in 10 min frameFirst Alarm parameter 2 in 10 min framemissing_data
02020-01-01 00:00:001066.01038.01049.03.033.038.040.039.027.034.028.051.0999.0999.055.049.00.056.056.055.065.063.026.0342.810.29.910.00.05.83.34.50.3-8.2334.713.00.033.033.030.032.0143.01.050.0568.8569.1564.379.682.090.4240.298.227.025.40.00.3-0.60.0142.0240.097.025.00.00.00.00.00.00.00.00.03000.011.00.01.011.018.028.014.030.072.031.09.0999.0-0.6-2.4-1.30.337.043.038.048.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0384933600.0368872672.0360805824.0358062656.0344846016.0148197264.0115146712.016123716.06281898.0360594912.0250252480.00.00.024059.024059.00.00.00.00.0-348559.065065540.07621652.072338632.0-297112.05074.06471.0-285567.00.00.00.0False
12020-01-01 00:10:001057.01040.01049.02.033.038.039.039.027.034.029.051.0999.0999.055.049.00.055.055.055.065.063.026.0342.810.19.910.00.05.42.23.80.4-3.8339.113.00.033.034.031.033.065.81.050.0569.0569.1564.435.737.946.0122.77.227.024.40.00.3-0.60.065.0122.06.024.00.00.00.00.00.00.00.00.03000.011.00.01.011.018.028.014.032.072.033.09.0999.00.7-1.4-0.40.437.042.038.048.0600.0600.0600.0600.0600.00.0600.00.00.0600.0255.00.0384933600.0368873280.0360806432.0358063264.0344846624.0148197264.0115147312.016123716.06281898.0360595520.0250252736.00.00.011184.011184.00.00.00.00.0-348559.065065540.07621663.072338640.0-297112.05074.06471.0-285567.00.00.00.0False
22020-01-01 00:20:001058.01036.01049.02.033.038.039.039.027.034.028.052.0999.0999.054.049.00.054.055.055.065.063.025.0342.810.19.910.00.06.42.54.20.4-6.1336.813.00.033.033.030.032.0110.61.050.0570.0570.1565.560.763.371.4193.539.727.037.60.00.3-0.60.0110.0193.039.037.00.00.00.00.00.00.00.00.03000.011.00.01.011.018.028.014.033.072.032.09.0999.00.5-2.1-0.90.437.042.038.048.0600.0600.0600.0600.0600.00.0600.00.00.0600.0351.00.0384933600.0368873856.0360807040.0358063840.0344847200.0148197264.0115147912.016123716.06281898.0360596096.0250253088.00.00.018175.018175.00.00.00.00.0-348559.065065540.07621681.072338664.0-297112.05074.06471.0-285567.00.00.00.0False
32020-01-01 00:30:001070.01041.01051.04.033.038.040.039.027.035.029.052.0999.0999.055.049.00.056.055.055.065.063.025.0342.810.29.910.00.06.73.84.90.5-6.1336.812.00.035.035.032.034.0197.71.050.0570.3570.3565.6110.9114.1122.1272.4123.927.034.10.00.3-0.60.0197.0273.0123.034.00.00.00.00.00.00.00.00.03000.011.00.01.011.018.028.014.034.072.033.09.0999.0-1.0-2.7-1.90.437.042.038.048.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0384937216.0368874464.0360807616.0358064448.0344847808.0148197264.0115148512.016123716.06281898.0360596704.0250253680.00.00.032533.032533.00.00.00.00.0-348559.065065540.07621714.072338696.0-297112.05074.06471.0-285567.00.00.00.0False
42020-01-01 00:40:001099.01040.01051.07.033.039.040.040.027.035.028.052.0999.0999.055.049.00.057.056.055.065.063.025.0342.810.59.910.00.07.03.54.80.5-6.2336.712.00.034.033.030.032.0190.41.050.0571.1571.0566.6106.5109.8117.6282.4106.527.036.60.00.3-0.60.0189.0282.0104.036.00.00.00.00.00.00.00.00.03000.011.00.01.011.017.028.014.035.073.032.09.0999.0-1.0-2.8-1.80.437.042.037.048.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0384937216.0368875072.0360808224.0358065056.0344848416.0148197264.0115149112.016123716.06281898.0360597312.0250254272.00.00.032259.032259.00.00.00.00.0-348559.065065540.07621746.072338728.0-297112.05074.06471.0-285567.00.00.00.0False
52020-01-01 00:50:001058.01041.01049.03.033.039.040.039.027.035.029.052.0999.0999.055.049.00.056.056.055.065.063.025.0342.810.19.910.00.05.83.04.20.4-7.4335.512.00.034.035.032.033.0125.01.050.0571.9571.9567.468.571.679.4169.888.527.020.50.00.3-0.60.0124.0171.089.020.00.00.00.00.00.00.00.00.03000.011.00.01.011.017.028.014.035.074.033.09.0999.0-0.4-1.5-1.00.237.042.037.048.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0384937216.0368875680.0360808832.0358065664.0344848992.0148197264.0115149712.016123716.06281898.0360597920.0250254880.00.00.020916.020916.00.00.00.00.0-348559.065065540.07621767.072338752.0-297112.05074.06471.0-285567.00.00.00.0False
62020-01-01 01:00:001058.01040.01049.03.033.039.040.039.027.035.028.052.0999.0999.055.049.00.055.056.055.065.063.025.0342.810.19.910.00.05.73.24.30.3-7.5335.413.00.033.033.030.032.0126.21.050.0572.0572.0567.769.172.180.0165.670.427.021.20.00.3-0.50.0125.0166.069.021.00.00.00.00.00.00.00.00.03000.011.00.01.011.017.028.014.034.074.032.09.0999.0-0.5-2.0-1.10.237.042.037.047.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0384937216.0368876256.0360809440.0358066240.0344849600.0148197264.0115150312.016123716.06281898.0360598496.0250255488.00.00.020987.020987.00.00.00.00.0-348559.065065540.07621788.072338768.0-297112.05074.06471.0-285567.00.00.00.0False
72020-01-01 01:10:001102.01038.01051.07.033.038.040.039.027.034.028.052.0999.0999.055.049.00.056.056.055.065.063.026.0342.810.59.910.00.06.83.44.90.5-8.4334.513.00.034.034.031.033.0186.61.050.0571.5571.4567.0104.4107.5115.0262.7109.627.036.00.00.3-0.60.0186.0263.0109.036.00.00.00.00.00.00.00.00.03000.011.00.01.011.017.028.014.031.074.032.09.0999.0-0.9-2.8-1.80.437.042.037.048.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0384937216.0368876864.0360810016.0358066848.0344850208.0148197264.0115150912.016123716.06281898.0360599104.0250256080.00.00.030650.030650.00.00.00.00.0-348559.065065540.07621819.072338800.0-297112.05074.06471.0-285567.00.00.00.0False
82020-01-01 01:20:001102.01038.01050.06.033.039.040.040.028.034.028.052.0999.0999.055.049.00.057.056.055.065.063.026.0338.110.59.910.00.06.73.54.90.4-7.0331.113.00.034.034.030.032.0201.81.050.0572.7572.6568.3112.8116.4123.5258.3132.227.030.80.00.6-0.60.0201.0258.0132.030.00.00.00.00.00.00.00.00.03000.011.00.01.011.017.028.014.030.074.032.09.0999.0-1.1-2.6-1.90.437.042.037.047.0600.0600.0600.0600.0600.00.0600.020.00.0600.0600.00.0384937216.0368877472.0360810624.0358067456.0344850816.0148197264.0115151512.016123736.06281898.0360599712.0250256688.00.00.033849.033849.00.00.00.00.0-348559.065065540.07621852.072338832.0-297112.05074.06471.0-285567.00.00.00.0False
92020-01-01 01:30:001120.01038.01056.013.033.039.040.040.028.034.028.053.0999.0999.055.049.00.057.056.055.065.063.026.0337.110.79.910.00.17.63.25.00.6-3.7333.413.00.035.034.031.033.0216.21.050.0573.9573.7569.5121.0124.6131.5341.1141.027.041.00.00.6-0.70.0215.0342.0140.041.00.00.00.00.00.00.00.00.03000.011.00.01.011.017.028.014.030.074.032.09.0999.0-0.8-2.8-1.90.537.042.037.048.0600.0600.0600.0600.0600.00.0600.039.00.0600.0600.00.0384940800.0368878080.0360811232.0358068064.0344851392.0148197264.0115152112.016123775.06281898.0360600320.0250257280.00.00.035860.035860.00.00.00.00.0-348559.065065540.07621888.072338872.0-297112.05074.06471.0-285567.00.00.00.0False
TimestampGenerator RPM Max. [RPM]Generator RPM Min. [RPM]Generator RPM Avg. [RPM]Generator RPM StdDev [RPM]Generator Bearing Temp. Avg. [°C]Generator Phase1 Temp. Avg. [°C]Generator Phase2 Temp. Avg. [°C]Generator Phase3 Temp. Avg. [°C]Generator SlipRing Temp. Avg. [°C]Generator Bearing2 Temp. Avg. [°C]Generator CoolingWater Temp. Avg. [°C]Hydraulic Oil Temp. Avg. [°C]Gear Oil Temp. Avg. [°C]Gear Bearing Temp. Avg. [°C]Gear Oil TemperatureBasis Avg. [°C]Gear Oil TemperatureLevel1 Avg. [°C]Gear Oil TemperatureLevel2_3 Avg. [°C]Gear Bearing TemperatureHSRotorEnd Avg. [°C]Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]Gear Bearing TemperatureHSMiddle Avg. [°C]Gear Bearing TemperatureHollowShaftRotor Avg. [°C]Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]Nacelle Temp. Avg. [°C]Avg. direction [°]Rotor RPM Max. [RPM]Rotor RPM Min. [RPM]Rotor RPM Avg. [RPM]Rotor RPM StdDev [RPM]Ambient WindSpeed Max. [m/s]Ambient WindSpeed Min. [m/s]Ambient WindSpeed Avg. [m/s]Ambient WindSpeed StdDev [m/s]Ambient WindDir Relative Avg. [°]Ambient WindDir Absolute Avg. [°]Ambient Temp. Avg. [°C]Ambient WindSpeed Estimated Avg. [m/s]Grid InverterPhase1 Temp. Avg. [°C]Grid RotorInvPhase1 Temp. Avg. [°C]Grid RotorInvPhase2 Temp. Avg. [°C]Grid RotorInvPhase3 Temp. Avg. [°C]Grid Production Power Avg. [W]Grid Production CosPhi Avg.Grid Production Frequency Avg. [Hz]Grid Production VoltagePhase1 Avg. [V]Grid Production VoltagePhase2 Avg. [V]Grid Production VoltagePhase3 Avg. [V]Grid Production CurrentPhase1 Avg. [A]Grid Production CurrentPhase2 Avg. [A]Grid Production CurrentPhase3 Avg. [A]Grid Production Power Max. [W]Grid Production Power Min. [W]Grid Busbar Temp. Avg. [°C]Grid Production Power StdDev [W]Grid Production ReactivePower Avg. [W]Grid Production ReactivePower Max. [W]Grid Production ReactivePower Min. [W]Grid Production ReactivePower StdDev [W]Grid Production PossiblePower Avg. [W]Grid Production PossiblePower Max. [W]Grid Production PossiblePower Min. [W]Grid Production PossiblePower StdDev [W]Grid Production PossibleInductive Avg. [var]Grid Production PossibleInductive Max. [var]Grid Production PossibleInductive Min. [var]Grid Production PossibleInductive StdDev [var]Grid Production PossibleCapacitive Avg. [var]Grid Production PossibleCapacitive Max. [var]Grid Production PossibleCapacitive Min. [var]Grid Production PossibleCapacitive StdDev [var]Active power limit [W]Active power limit sourceReactive power set point [var]Power factor set pointPower factor set point sourceController Ground Temp. Avg. [°C]Controller Top Temp. Avg. [°C]Controller Hub Temp. Avg. [°C]Controller VCP Temp. Avg. [°C]Controller VCP ChokecoilTemp. Avg. [°C]Controller VCP WaterTemp. Avg. [°C]Spinner Temp. Avg. [°C]Spinner Temp. SlipRing Avg. [°C]Blades PitchAngle Min. [°]Blades PitchAngle Max. [°]Blades PitchAngle Avg. [°]Blades PitchAngle StdDev [°]HVTrafo Phase1 Temp. Avg. [°C]HVTrafo Phase2 Temp. Avg. [°C]HVTrafo Phase3 Temp. Avg. [°C]HVTrafo AirOutlet Temp. Avg. [°C]HourCounters Average Total Avg. [h]HourCounters Average GridOn Avg. [h]HourCounters Average GridOk Avg. [h]HourCounters Average TurbineOk Avg. [h]HourCounters Average Run Avg. [h]HourCounters Average Gen1 Avg. [h]HourCounters Average Gen2 Avg. [h]HourCounters Average Yaw Avg. [h]HourCounters Average ServiceOn Avg. [h]HourCounters Average AmbientOk Avg. [h]HourCounters Average WindOk Avg. [h]HourCounters Average AlarmActive Avg. [h]Total hour counter [h]Grid on hours [h]Grid ok hours [h]Turbine ok hours [h]Run hours [h]Generator 1 hours [h]Generator 2 hours [h]Yaw hours [h]Service hours [h]Ambient ok hours [h]Wind ok hours [h]Production LatestAverage Active Power Gen 0 Avg. [W]Production LatestAverage Active Power Gen 1 Avg. [W]Production LatestAverage Active Power Gen 2 Avg. [W]Production LatestAverage Total Active Power Avg. [W]Production LatestAverage Reactive Power Gen 0 Avg. [var]Production LatestAverage Reactive Power Gen 1 Avg. [var]Production LatestAverage Reactive Power Gen 2 Avg. [var]Production LatestAverage Total Reactive Power Avg. [var]Active power generator 0, Total accumulated [W]Active power generator 1, Total accumulated [W]Active power generator 2, Total accumulated [W]Total Active power [W]Reactive power generator 0,Total accumulated [var]Reactive power generator 1, Total accumulated [var]Reactive power generator 2, Total accumulated [var]Total reactive power [var]System Logs First Active Alarm NoFirst Alarm parameter 1 in 10 min frameFirst Alarm parameter 2 in 10 min framemissing_data
261982020-06-30 22:20:001222.01114.01172.023.040.048.049.048.034.046.036.046.0999.0999.058.049.00.061.060.058.066.064.034.0334.811.710.611.10.27.74.86.10.4-2.0332.925.00.041.041.038.040.0390.51.050.0580.1573.9581.0219.0221.6232.2489.7265.538.031.80.00.1-0.20.0390.0490.0265.032.00.00.00.00.00.00.00.00.03000.011.00.01.011.034.035.034.040.090.040.028.0999.0-2.2-2.8-2.50.046.049.046.053.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0400651200.0384595232.0376350912.0373590752.0360247936.0153800304.0122141880.016833870.06455625.0376046368.0261321136.00.00.065140.065140.00.00.00.00.0-358562.067707120.08084286.075432848.0-308356.05040.06077.0-297241.00.00.00.0False
261992020-06-30 22:30:001301.01141.01224.034.040.048.049.049.034.046.036.045.0999.0999.058.049.00.062.060.058.066.064.034.0334.812.410.911.60.37.85.16.40.41.3336.225.00.041.041.037.040.0411.71.050.0584.3576.2585.6230.0231.1243.6518.5266.238.046.40.00.2-0.20.0411.0515.0264.047.00.00.00.00.00.00.00.00.03000.011.00.01.011.034.035.034.040.089.040.028.0999.0-2.2-2.8-2.50.146.049.046.053.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0400654784.0384595840.0376351520.0373591360.0360248512.0153800304.0122142480.016833870.06455625.0376046944.0261321728.00.00.068290.068290.00.00.00.00.0-358562.067707120.08084354.075432912.0-308356.05040.06077.0-297241.00.00.00.0False
262002020-06-30 22:40:001341.01192.01271.030.040.048.049.049.034.046.036.045.0999.0999.058.049.00.062.061.058.066.064.034.0340.812.811.412.10.28.35.46.60.4-1.3339.525.00.040.041.037.040.0436.11.050.0585.1577.6585.3243.6244.8257.2548.0283.438.047.00.00.7-0.70.0435.0551.0280.047.00.00.00.00.00.00.00.00.03000.011.00.01.011.033.035.033.039.088.039.028.0999.0-2.2-2.8-2.50.146.049.046.053.0600.0600.0600.0600.0600.00.0600.014.00.0600.0600.00.0400654784.0384596448.0376352096.0373591968.0360249120.0153800304.0122143080.016833884.06455625.0376047552.0261322336.00.00.072966.072966.00.00.00.00.0-358562.067707120.08084427.075432984.0-308356.05040.06077.0-297241.00.00.00.0False
262012020-06-30 22:50:001313.01150.01240.029.040.048.050.049.034.046.036.045.0999.0999.059.049.00.063.061.058.067.065.034.0341.912.511.011.80.28.45.26.50.4-1.0340.925.00.041.042.038.040.0443.41.050.0586.0577.6586.8246.9247.9261.8550.7318.138.044.60.00.2-0.20.0443.0560.0314.045.00.00.00.00.00.00.00.00.03000.011.00.01.011.033.035.033.040.088.040.027.0999.0-2.2-2.8-2.50.146.049.046.053.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0400654784.0384597056.0376352704.0373592576.0360249728.0153800304.0122143680.016833884.06455625.0376048160.0261322928.00.00.073798.073798.00.00.00.00.0-358562.067707120.08084501.075433056.0-308356.05040.06077.0-297241.00.00.00.0False
262022020-06-30 23:00:001286.01088.01190.039.040.048.050.050.034.046.036.045.0999.0999.059.049.00.062.061.058.066.064.034.0344.412.310.411.30.38.14.36.20.40.3344.725.00.041.041.037.040.0396.11.050.0584.7577.4585.0219.7222.2235.0526.7253.838.051.20.00.4-0.80.0395.0528.0243.051.00.00.00.00.00.00.00.00.03000.011.00.01.011.033.035.033.042.089.040.027.0999.0-2.0-2.8-2.50.146.049.046.053.0600.0600.0600.0600.0600.00.0600.016.00.0600.0600.00.0400654784.0384597632.0376353312.0373593152.0360250336.0153800304.0122144280.016833900.06455625.0376048768.0261323536.00.00.065993.065993.00.00.00.00.0-358562.067707120.08084567.075433128.0-308356.05040.06077.0-297241.00.00.00.0False
262032020-06-30 23:10:001176.01060.01121.022.040.048.049.049.034.046.036.045.0999.0999.058.049.00.061.060.058.066.064.034.0349.911.210.110.60.27.04.55.80.3-5.3344.625.00.042.041.037.039.0327.81.050.0580.8577.6578.7181.3186.3196.2422.5258.638.030.30.00.1-0.20.0327.0423.0258.030.00.00.00.00.00.00.00.00.03000.011.00.01.011.033.035.033.043.089.040.027.0999.0-2.3-2.8-2.50.046.049.046.053.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0400654784.0384598240.0376353920.0373593760.0360250912.0153800304.0122144880.016833900.06455625.0376049344.0261324128.00.00.054779.054779.00.00.00.00.0-358562.067707120.08084622.075433176.0-308356.05040.06077.0-297241.00.00.00.0False
262042020-06-30 23:20:001148.01049.01095.024.040.048.049.049.034.046.036.045.0999.0999.057.049.00.060.059.057.065.064.034.0349.911.010.010.40.27.44.65.70.4-5.4344.525.00.041.041.037.039.0296.71.050.0578.8576.5575.7164.0169.5178.6391.6206.538.032.10.00.1-0.20.0296.0393.0206.032.00.00.00.00.00.00.00.00.03000.011.00.01.011.032.035.032.044.090.040.027.0999.0-2.1-2.8-2.50.146.049.046.053.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0400654784.0384598848.0376354496.0373594368.0360251520.0153800304.0122145480.016833900.06455625.0376049952.0261324736.00.00.049146.049146.00.00.00.00.0-358562.067707120.08084671.075433232.0-308356.05040.06077.0-297241.00.00.00.0False
262052020-06-30 23:30:001120.01046.01063.014.040.047.049.048.034.046.036.045.0999.0999.057.049.00.059.059.057.065.063.034.0349.910.710.010.10.16.94.45.40.4-4.3345.625.00.041.041.037.039.0258.51.050.0576.1574.1571.8142.3148.9157.2330.2211.838.024.60.00.2-0.20.0257.0330.0209.024.00.00.00.00.00.00.00.00.03000.011.00.01.011.032.035.032.045.090.040.027.0999.0-2.0-2.8-2.40.146.049.046.053.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0400658400.0384599456.0376355104.0373594976.0360252128.0153800304.0122146080.016833900.06455625.0376050560.0261325328.00.00.043287.043287.00.00.00.00.0-358562.067707120.08084714.075433272.0-308356.05040.06077.0-297241.00.00.00.0False
262062020-06-30 23:40:001055.01045.01049.01.040.047.048.048.034.046.036.045.0999.0999.056.049.00.058.058.056.065.063.034.0349.910.110.010.00.06.63.85.00.3-3.9346.025.00.041.040.037.039.0215.01.050.0574.3572.0569.6117.4124.2132.4243.5190.538.012.30.00.1-0.20.0214.0244.0189.012.00.00.00.00.00.00.00.00.03000.011.00.01.011.032.035.032.045.091.040.027.0999.0-1.4-2.6-2.00.246.049.046.053.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0400658400.0384600032.0376355712.0373595552.0360252736.0153800304.0122146680.016833900.06455625.0376051168.0261325936.00.00.035806.035806.00.00.00.00.0-358562.067707120.08084750.075433312.0-308356.05040.06077.0-297241.00.00.00.0False
262072020-06-30 23:50:001054.01044.01049.01.040.046.048.047.034.046.036.045.0999.0999.056.049.00.058.058.056.065.063.034.0349.910.110.010.00.06.23.64.80.4-0.4349.525.00.040.040.037.039.0188.21.050.0571.7569.4567.0102.2109.2117.3219.7156.838.014.50.00.1-0.20.0187.0220.0155.014.00.00.00.00.00.00.00.00.03000.011.00.01.011.032.035.032.044.090.039.027.0999.0-1.1-2.5-1.80.346.049.046.054.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0400658400.0384600640.0376356320.0373596160.0360253312.0153800304.0122147280.016833900.06455625.0376051744.0261326528.00.00.031530.031530.00.00.00.00.0-358562.067707120.08084781.075433336.0-308356.05040.06077.0-297241.00.00.00.0False